Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	9431
Missing cells	24009
Missing cells (%)	7.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.4 MiB
Average record size in memory	265.0 B

Variable types

DateTime	2
Categorical	17
Numeric	13
Boolean	1

Warnings

`album_type` has constant value "album"	Constant
`artist1_type` has constant value "artist"	Constant
`artist2_type` has constant value "artist"	Constant
`is_local` has constant value "False"	Constant
`type` has constant value "track"	Constant
`artistName` has a high cardinality: 1072 distinct values	High cardinality
`trackName` has a high cardinality: 2348 distinct values	High cardinality
`artist+track` has a high cardinality: 2379 distinct values	High cardinality
`id_` has a high cardinality: 2346 distinct values	High cardinality
`album_id` has a high cardinality: 1675 distinct values	High cardinality
`album_name` has a high cardinality: 1661 distinct values	High cardinality
`artist1_id` has a high cardinality: 1073 distinct values	High cardinality
`artist1_name` has a high cardinality: 1073 distinct values	High cardinality
`artist2_id` has a high cardinality: 409 distinct values	High cardinality
`artist2_name` has a high cardinality: 408 distinct values	High cardinality
`name` has a high cardinality: 2318 distinct values	High cardinality
`mode` is highly correlated with `album_type` and 4 other fields	High correlation
`time_signature` is highly correlated with `album_type` and 4 other fields	High correlation
`album_type` is highly correlated with `mode` and 5 other fields	High correlation
`is_local` is highly correlated with `mode` and 5 other fields	High correlation
`artist1_type` is highly correlated with `mode` and 5 other fields	High correlation
`type` is highly correlated with `mode` and 5 other fields	High correlation
`artist2_type` is highly correlated with `mode` and 5 other fields	High correlation
`artist2_id` has 8003 (84.9%) missing values	Missing
`artist2_name` has 8003 (84.9%) missing values	Missing
`artist2_type` has 8003 (84.9%) missing values	Missing
`msPlayed` has 348 (3.7%) zeros	Zeros
`key` has 1243 (13.2%) zeros	Zeros
`instrumentalness` has 617 (6.5%) zeros	Zeros

Reproduction

Analysis started	2021-03-14 13:19:59.291373
Analysis finished	2021-03-14 13:20:38.338602
Duration	39.05 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

endTime
Date

Distinct	5320
Distinct (%)	56.4%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

Minimum	2020-01-22 11:54:00
Maximum	2021-01-22 18:39:00

Histogram

Histogram with fixed size bins (bins=50)

artistName
Categorical

HIGH CARDINALITY

Distinct	1072
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

Stromae	307
Gorillaz	266
Grimes	231
Hatari	216
IAMX	195
Other values (1067)	8216

Length

Max length	34
Median length	10
Mean length	10.31873608
Min length	1

Characters and Unicode

Total characters	97316
Distinct characters	120
Distinct categories	9 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	508 ?
Unique (%)	5.4%

Sample

1st row	Ludwig van Beethoven
2nd row	Ludwig van Beethoven
3rd row	François Couperin
4th row	Ludwig van Beethoven
5th row	Ludwig van Beethoven

Value	Count	Frequency (%)
Stromae	307	3.3%
Gorillaz	266	2.8%
Grimes	231	2.4%
Hatari	216	2.3%
IAMX	195	2.1%
TR/ST	156	1.7%
Radiohead	123	1.3%
The xx	101	1.1%
Arcade Fire	101	1.1%
Blonde Redhead	98	1.0%
Other values (1062)	7637	81.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
the	968	6.0%
stromae	307	1.9%
gorillaz	266	1.7%
grimes	231	1.4%
hatari	216	1.3%
iamx	195	1.2%
tr/st	156	1.0%
white	136	0.8%
radiohead	123	0.8%
xx	102	0.6%
Other values (1618)	13305	83.1%

Most occurring characters

Value	Count	Frequency (%)
e	8315	8.5%
a	8028	8.2%
	6574	6.8%
i	6164	6.3%
r	5847	6.0%
o	5656	5.8%
n	4976	5.1%
t	4042	4.2%
s	4012	4.1%
l	3644	3.7%
Other values (110)	40058	41.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	70294	72.2%
Uppercase Letter	19594	20.1%
Space Separator	6574	6.8%
Other Punctuation	596	0.6%
Decimal Number	107	0.1%
Dash Punctuation	86	0.1%
Math Symbol	59	0.1%
Other Letter	5	< 0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	8315	11.8%
a	8028	11.4%
i	6164	8.8%
r	5847	8.3%
o	5656	8.0%
n	4976	7.1%
t	4042	5.8%
s	4012	5.7%
l	3644	5.2%
h	3175	4.5%
Other values (45)	16435	23.4%

Value	Count	Frequency (%)
S	2012	10.3%
T	1811	9.2%
M	1511	7.7%
G	1189	6.1%
R	1148	5.9%
B	1081	5.5%
F	1073	5.5%
D	1054	5.4%
A	1053	5.4%
C	1007	5.1%
Other values (27)	6655	34.0%

Value	Count	Frequency (%)
/	158	26.5%
.	140	23.5%
!	130	21.8%
'	86	14.4%
&	56	9.4%
,	15	2.5%
"	8	1.3%
:	2	0.3%
。	1	0.2%

Value	Count	Frequency (%)
9	24	22.4%
8	24	22.4%
7	20	18.7%
4	18	16.8%
3	11	10.3%
0	5	4.7%
2	3	2.8%
5	1	0.9%
1	1	0.9%

Value	Count	Frequency (%)
優	1	20.0%
里	1	20.0%
も	1	20.0%
さ	1	20.0%
を	1	20.0%

Value	Count	Frequency (%)
\|	39	66.1%
+	20	33.9%

Value	Count	Frequency (%)
	6574	100.0%

Value	Count	Frequency (%)
-	86	100.0%

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	89860	92.3%
Common	7423	7.6%
Cyrillic	28	< 0.1%
Hiragana	3	< 0.1%
Han	2	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	8315	9.3%
a	8028	8.9%
i	6164	6.9%
r	5847	6.5%
o	5656	6.3%
n	4976	5.5%
t	4042	4.5%
s	4012	4.5%
l	3644	4.1%
h	3175	3.5%
Other values (70)	36001	40.1%

Value	Count	Frequency (%)
	6574	88.6%
/	158	2.1%
.	140	1.9%
!	130	1.8%
-	86	1.2%
'	86	1.2%
&	56	0.8%
\|	39	0.5%
9	24	0.3%
8	24	0.3%
Other values (13)	106	1.4%

Value	Count	Frequency (%)
д	7	25.0%
а	5	17.9%
н	4	14.3%
р	2	7.1%
Х	2	7.1%
П	2	7.1%
Н	1	3.6%
е	1	3.6%
в	1	3.6%
ы	1	3.6%
Other values (2)	2	7.1%

Value	Count	Frequency (%)
も	1	33.3%
さ	1	33.3%
を	1	33.3%

Value	Count	Frequency (%)
優	1	50.0%
里	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96621	99.3%
None	662	0.7%
Cyrillic	28	< 0.1%
Hiragana	3	< 0.1%
CJK	2	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
e	8315	8.6%
a	8028	8.3%
	6574	6.8%
i	6164	6.4%
r	5847	6.1%
o	5656	5.9%
n	4976	5.2%
t	4042	4.2%
s	4012	4.2%
l	3644	3.8%
Other values (64)	39363	40.7%

Value	Count	Frequency (%)
é	96	14.5%
ł	69	10.4%
ö	66	10.0%
ø	59	8.9%
ò	49	7.4%
ð	40	6.0%
ó	38	5.7%
ë	36	5.4%
Ü	34	5.1%
í	32	4.8%
Other values (19)	143	21.6%

Value	Count	Frequency (%)
д	7	25.0%
а	5	17.9%
н	4	14.3%
р	2	7.1%
Х	2	7.1%
П	2	7.1%
Н	1	3.6%
е	1	3.6%
в	1	3.6%
ы	1	3.6%
Other values (2)	2	7.1%

Value	Count	Frequency (%)
優	1	50.0%
里	1	50.0%

Value	Count	Frequency (%)
も	1	33.3%
さ	1	33.3%
を	1	33.3%

trackName
Categorical

HIGH CARDINALITY

Distinct	2348
Distinct (%)	24.9%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

Grouch	48
Tanca	46
Exits	43
Niðurlút	43
Cradles	41
Other values (2343)	9210

Length

Max length	170
Median length	12
Mean length	16.09087053
Min length	1

Characters and Unicode

Total characters	151753
Distinct characters	244
Distinct categories	15 ?
Distinct scripts	9 ?
Distinct blocks	9 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1235 ?
Unique (%)	13.1%

Sample

1st row	String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro
2nd row	String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro
3rd row	Sœur Monique: 18ème ordre, 3ème livre
4th row	Septet in E-Flat Major, Op. 20: III. Tempo di menuetto
5th row	Piano Sonata No.20 in G Major, Op. 49 No.2: II. Tempo di Menuetto

Value	Count	Frequency (%)
Grouch	48	0.5%
Tanca	46	0.5%
Exits	43	0.5%
Niðurlút	43	0.5%
Cradles	41	0.4%
bâtard	41	0.4%
Huggin & Kissin	38	0.4%
Drifted	38	0.4%
Comme Des Garçons (Like The Boys)	38	0.4%
Bicep	37	0.4%
Other values (2338)	9018	95.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1053	3.8%
	974	3.5%
in	491	1.8%
feat	298	1.1%
a	289	1.0%
of	287	1.0%
i	269	1.0%
you	247	0.9%
my	234	0.8%
no	225	0.8%
Other values (3259)	23592	84.4%

Most occurring characters

Value	Count	Frequency (%)
	18528	12.2%
e	13801	9.1%
a	8588	5.7%
o	8576	5.7%
i	8139	5.4%
n	7395	4.9%
r	7362	4.9%
t	6700	4.4%
s	5629	3.7%
l	5256	3.5%
Other values (234)	61779	40.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100459	66.2%
Uppercase Letter	24761	16.3%
Space Separator	18528	12.2%
Other Punctuation	3290	2.2%
Decimal Number	2462	1.6%
Dash Punctuation	964	0.6%
Open Punctuation	577	0.4%
Close Punctuation	577	0.4%
Other Letter	112	0.1%
Final Punctuation	7	< 0.1%
Other values (5)	16	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	13801	13.7%
a	8588	8.5%
o	8576	8.5%
i	8139	8.1%
n	7395	7.4%
r	7362	7.3%
t	6700	6.7%
s	5629	5.6%
l	5256	5.2%
h	3474	3.5%
Other values (77)	25539	25.4%

Value	Count	Frequency (%)
ص	11	9.8%
ا	11	9.8%
م	11	9.8%
د	11	9.8%
ラ	3	2.7%
ワ	2	1.8%
ン	2	1.8%
ウ	2	1.8%
イ	2	1.8%
ו	2	1.8%
Other values (55)	55	49.1%

Value	Count	Frequency (%)
S	2202	8.9%
T	2067	8.3%
M	1807	7.3%
D	1520	6.1%
A	1443	5.8%
I	1419	5.7%
L	1245	5.0%
B	1187	4.8%
C	1175	4.7%
O	1122	4.5%
Other values (44)	9574	38.7%

Value	Count	Frequency (%)
.	1268	38.5%
'	568	17.3%
,	503	15.3%
:	343	10.4%
?	160	4.9%
"	152	4.6%
&	117	3.6%
/	83	2.5%
!	58	1.8%
#	29	0.9%
Other values (4)	9	0.3%

Value	Count	Frequency (%)
1	549	22.3%
2	518	21.0%
0	374	15.2%
3	171	6.9%
9	169	6.9%
4	156	6.3%
7	150	6.1%
5	141	5.7%
8	125	5.1%
6	109	4.4%

Value	Count	Frequency (%)
(	575	99.7%
[	2	0.3%

Value	Count	Frequency (%)
)	575	99.7%
]	2	0.3%

Value	Count	Frequency (%)
“	3	75.0%
‘	1	25.0%

Value	Count	Frequency (%)
’	4	57.1%
”	3	42.9%

Value	Count	Frequency (%)
	18528	100.0%

Value	Count	Frequency (%)
-	964	100.0%

Value	Count	Frequency (%)
゙	1	100.0%

Value	Count	Frequency (%)
ー	5	100.0%

Value	Count	Frequency (%)
+	5	100.0%

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	124151	81.8%
Common	26420	17.4%
Cyrillic	1069	0.7%
Arabic	44	< 0.1%
Katakana	30	< 0.1%
Han	17	< 0.1%
Hiragana	13	< 0.1%
Hebrew	8	< 0.1%
Inherited	1	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	13801	11.1%
a	8588	6.9%
o	8576	6.9%
i	8139	6.6%
n	7395	6.0%
r	7362	5.9%
t	6700	5.4%
s	5629	4.5%
l	5256	4.2%
h	3474	2.8%
Other values (81)	49231	39.7%

Value	Count	Frequency (%)
а	136	12.7%
н	88	8.2%
с	82	7.7%
р	55	5.1%
и	53	5.0%
е	52	4.9%
т	49	4.6%
о	43	4.0%
л	42	3.9%
у	33	3.1%
Other values (40)	436	40.8%

Value	Count	Frequency (%)
	18528	70.1%
.	1268	4.8%
-	964	3.6%
(	575	2.2%
)	575	2.2%
'	568	2.1%
1	549	2.1%
2	518	2.0%
,	503	1.9%
0	374	1.4%
Other values (27)	1998	7.6%

Value	Count	Frequency (%)
ラ	3	10.0%
ワ	2	6.7%
ン	2	6.7%
ウ	2	6.7%
イ	2	6.7%
ホ	1	3.3%
サ	1	3.3%
ム	1	3.3%
ト	1	3.3%
ゥ	1	3.3%
Other values (14)	14	46.7%

Value	Count	Frequency (%)
奇	1	5.9%
想	1	5.9%
曲	1	5.9%
作	1	5.9%
品	1	5.9%
長	1	5.9%
調	1	5.9%
伴	1	5.9%
侶	1	5.9%
夜	1	5.9%
Other values (7)	7	41.2%

Value	Count	Frequency (%)
の	1	7.7%
や	1	7.7%
さ	1	7.7%
し	1	7.7%
い	1	7.7%
を	1	7.7%
に	1	7.7%
け	1	7.7%
る	1	7.7%
ぎ	1	7.7%
Other values (3)	3	23.1%

Value	Count	Frequency (%)
ו	2	25.0%
ר	1	12.5%
צ	1	12.5%
ה	1	12.5%
ש	1	12.5%
ל	1	12.5%
ם	1	12.5%

Value	Count	Frequency (%)
ص	11	25.0%
ا	11	25.0%
م	11	25.0%
د	11	25.0%

Value	Count	Frequency (%)
゙	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	149883	98.8%
Cyrillic	1069	0.7%
None	666	0.4%
Arabic	44	< 0.1%
Katakana	41	< 0.1%
CJK	17	< 0.1%
Hiragana	14	< 0.1%
Punctuation	11	< 0.1%
Hebrew	8	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	18528	12.4%
e	13801	9.2%
a	8588	5.7%
o	8576	5.7%
i	8139	5.4%
n	7395	4.9%
r	7362	4.9%
t	6700	4.5%
s	5629	3.8%
l	5256	3.5%
Other values (71)	59909	40.0%

Value	Count	Frequency (%)
ê	69	10.4%
á	65	9.8%
ð	61	9.2%
â	57	8.6%
é	52	7.8%
ú	43	6.5%
ç	39	5.9%
Ä	35	5.3%
Þ	28	4.2%
æ	28	4.2%
Other values (31)	189	28.4%

Value	Count	Frequency (%)
а	136	12.7%
н	88	8.2%
с	82	7.7%
р	55	5.1%
и	53	5.0%
е	52	4.9%
т	49	4.6%
о	43	4.0%
л	42	3.9%
у	33	3.1%
Other values (40)	436	40.8%

Value	Count	Frequency (%)
’	4	36.4%
“	3	27.3%
”	3	27.3%
‘	1	9.1%

Value	Count	Frequency (%)
の	1	7.1%
゙	1	7.1%
や	1	7.1%
さ	1	7.1%
し	1	7.1%
い	1	7.1%
を	1	7.1%
に	1	7.1%
け	1	7.1%
る	1	7.1%
Other values (4)	4	28.6%

Value	Count	Frequency (%)
奇	1	5.9%
想	1	5.9%
曲	1	5.9%
作	1	5.9%
品	1	5.9%
長	1	5.9%
調	1	5.9%
伴	1	5.9%
侶	1	5.9%
夜	1	5.9%
Other values (7)	7	41.2%

Value	Count	Frequency (%)
・	6	14.6%
ー	5	12.2%
ラ	3	7.3%
ワ	2	4.9%
ン	2	4.9%
ウ	2	4.9%
イ	2	4.9%
ホ	1	2.4%
サ	1	2.4%
ム	1	2.4%
Other values (16)	16	39.0%

Value	Count	Frequency (%)
ص	11	25.0%
ا	11	25.0%
م	11	25.0%
د	11	25.0%

Value	Count	Frequency (%)
ו	2	25.0%
ר	1	12.5%
צ	1	12.5%
ה	1	12.5%
ש	1	12.5%
ל	1	12.5%
ם	1	12.5%

msPlayed
Real number (ℝ_≥0)

ZEROS

Distinct	7082
Distinct (%)	75.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	115777.6851
Minimum	0
Maximum	1162123
Zeros	348
Zeros (%)	3.7%
Memory size	147.4 KiB

Quantile statistics

Minimum	0
5-th percentile	26
Q1	1108
median	37293
Q3	221729
95-th percentile	342114.5
Maximum	1162123
Range	1162123
Interquartile range (IQR)	220621

Descriptive statistics

Standard deviation	134446.9228
Coefficient of variation (CV)	1.161250743
Kurtosis	1.89745804
Mean	115777.6851
Median Absolute Deviation (MAD)	37289
Skewness	1.152166097
Sum	1091899348
Variance	1.807597505 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	348	3.7%
354	19	0.2%
410	17	0.2%
660	15	0.2%
861	14	0.1%
409	14	0.1%
605	14	0.1%
361	14	0.1%
353	14	0.1%
598	13	0.1%
Other values (7072)	8949	94.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	348	3.7%
2	2	< 0.1%
3	4	< 0.1%
4	2	< 0.1%
5	4	< 0.1%

Value	Count	Frequency (%)
1162123	1	< 0.1%
987124	1	< 0.1%
935242	1	< 0.1%
889943	1	< 0.1%
889935	1	< 0.1%

artist+track
Categorical

HIGH CARDINALITY

Distinct	2379
Distinct (%)	25.2%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

TR/ST Grouch	48
Iosonouncane Tanca	46
Foals Exits	43
Hatari Niðurlút	43
Sub Urban Cradles	41
Other values (2374)	9210

Length

Max length	190
Median length	24
Mean length	27.40960662
Min length	6

Characters and Unicode

Total characters	258500
Distinct characters	255
Distinct categories	15 ?
Distinct scripts	9 ?
Distinct blocks	9 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1270 ?
Unique (%)	13.5%

Sample

1st row	Ludwig van Beethoven String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro
2nd row	Ludwig van Beethoven String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro
3rd row	François Couperin Sœur Monique: 18ème ordre, 3ème livre
4th row	Ludwig van Beethoven Septet in E-Flat Major, Op. 20: III. Tempo di menuetto
5th row	Ludwig van Beethoven Piano Sonata No.20 in G Major, Op. 49 No.2: II. Tempo di Menuetto

Value	Count	Frequency (%)
TR/ST Grouch	48	0.5%
Iosonouncane Tanca	46	0.5%
Foals Exits	43	0.5%
Hatari Niðurlút	43	0.5%
Sub Urban Cradles	41	0.4%
Stromae bâtard	41	0.4%
Rina Sawayama Comme Des Garçons (Like The Boys)	38	0.4%
The Shoes Drifted	38	0.4%
Big Black Delta Huggin & Kissin	38	0.4%
TR/ST Bicep	37	0.4%
Other values (2369)	9018	95.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
the	2021	4.6%
	1054	2.4%
in	541	1.2%
stromae	343	0.8%
of	342	0.8%
a	328	0.7%
feat	298	0.7%
i	285	0.6%
gorillaz	266	0.6%
you	247	0.6%
Other values (4493)	38239	87.0%

Most occurring characters

Value	Count	Frequency (%)
	34533	13.4%
e	22116	8.6%
a	16616	6.4%
i	14303	5.5%
o	14232	5.5%
r	13209	5.1%
n	12371	4.8%
t	10742	4.2%
s	9641	3.7%
l	8900	3.4%
Other values (245)	101837	39.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	170753	66.1%
Uppercase Letter	44355	17.2%
Space Separator	34533	13.4%
Other Punctuation	3886	1.5%
Decimal Number	2569	1.0%
Dash Punctuation	1050	0.4%
Open Punctuation	577	0.2%
Close Punctuation	577	0.2%
Other Letter	117	< 0.1%
Math Symbol	64	< 0.1%
Other values (5)	19	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	22116	13.0%
a	16616	9.7%
i	14303	8.4%
o	14232	8.3%
r	13209	7.7%
n	12371	7.2%
t	10742	6.3%
s	9641	5.6%
l	8900	5.2%
h	6649	3.9%
Other values (79)	41974	24.6%

Value	Count	Frequency (%)
ص	11	9.4%
ا	11	9.4%
م	11	9.4%
د	11	9.4%
ラ	3	2.6%
ワ	2	1.7%
ン	2	1.7%
ウ	2	1.7%
さ	2	1.7%
を	2	1.7%
Other values (58)	60	51.3%

Value	Count	Frequency (%)
S	4214	9.5%
T	3878	8.7%
M	3318	7.5%
D	2574	5.8%
A	2496	5.6%
B	2268	5.1%
R	2218	5.0%
C	2182	4.9%
I	2044	4.6%
F	2010	4.5%
Other values (49)	17153	38.7%

Value	Count	Frequency (%)
.	1408	36.2%
'	654	16.8%
,	518	13.3%
:	345	8.9%
/	241	6.2%
!	188	4.8%
&	173	4.5%
"	160	4.1%
?	160	4.1%
#	29	0.7%
Other values (4)	10	0.3%

Value	Count	Frequency (%)
1	550	21.4%
2	521	20.3%
0	379	14.8%
9	193	7.5%
3	182	7.1%
4	174	6.8%
7	170	6.6%
8	149	5.8%
5	142	5.5%
6	109	4.2%

Value	Count	Frequency (%)
(	575	99.7%
[	2	0.3%

Value	Count	Frequency (%)
)	575	99.7%
]	2	0.3%

Value	Count	Frequency (%)
\|	39	60.9%
+	25	39.1%

Value	Count	Frequency (%)
“	3	75.0%
‘	1	25.0%

Value	Count	Frequency (%)
’	4	57.1%
”	3	42.9%

Value	Count	Frequency (%)
	34533	100.0%

Value	Count	Frequency (%)
-	1050	100.0%

Value	Count	Frequency (%)
゙	1	100.0%

Value	Count	Frequency (%)
ー	5	100.0%

Value	Count	Frequency (%)
$	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	214011	82.8%
Common	43274	16.7%
Cyrillic	1097	0.4%
Arabic	44	< 0.1%
Katakana	30	< 0.1%
Han	19	< 0.1%
Hiragana	16	< 0.1%
Hebrew	8	< 0.1%
Inherited	1	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	22116	10.3%
a	16616	7.8%
i	14303	6.7%
o	14232	6.7%
r	13209	6.2%
n	12371	5.8%
t	10742	5.0%
s	9641	4.5%
l	8900	4.2%
h	6649	3.1%
Other values (87)	85232	39.8%

Value	Count	Frequency (%)
а	141	12.9%
н	92	8.4%
с	82	7.5%
р	57	5.2%
е	53	4.8%
и	53	4.8%
т	49	4.5%
о	44	4.0%
л	42	3.8%
д	36	3.3%
Other values (41)	448	40.8%

Value	Count	Frequency (%)
	34533	79.8%
.	1408	3.3%
-	1050	2.4%
'	654	1.5%
(	575	1.3%
)	575	1.3%
1	550	1.3%
2	521	1.2%
,	518	1.2%
0	379	0.9%
Other values (28)	2511	5.8%

Value	Count	Frequency (%)
ラ	3	10.0%
ワ	2	6.7%
ン	2	6.7%
ウ	2	6.7%
イ	2	6.7%
ホ	1	3.3%
サ	1	3.3%
ム	1	3.3%
ト	1	3.3%
ゥ	1	3.3%
Other values (14)	14	46.7%

Value	Count	Frequency (%)
奇	1	5.3%
想	1	5.3%
曲	1	5.3%
作	1	5.3%
品	1	5.3%
長	1	5.3%
調	1	5.3%
伴	1	5.3%
侶	1	5.3%
夜	1	5.3%
Other values (9)	9	47.4%

Value	Count	Frequency (%)
さ	2	12.5%
を	2	12.5%
の	1	6.2%
や	1	6.2%
し	1	6.2%
い	1	6.2%
に	1	6.2%
け	1	6.2%
る	1	6.2%
も	1	6.2%
Other values (4)	4	25.0%

Value	Count	Frequency (%)
ו	2	25.0%
ר	1	12.5%
צ	1	12.5%
ה	1	12.5%
ש	1	12.5%
ל	1	12.5%
ם	1	12.5%

Value	Count	Frequency (%)
ص	11	25.0%
ا	11	25.0%
م	11	25.0%
د	11	25.0%

Value	Count	Frequency (%)
゙	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	255935	99.0%
None	1328	0.5%
Cyrillic	1097	0.4%
Arabic	44	< 0.1%
Katakana	41	< 0.1%
CJK	19	< 0.1%
Hiragana	17	< 0.1%
Punctuation	11	< 0.1%
Hebrew	8	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	34533	13.5%
e	22116	8.6%
a	16616	6.5%
i	14303	5.6%
o	14232	5.6%
r	13209	5.2%
n	12371	4.8%
t	10742	4.2%
s	9641	3.8%
l	8900	3.5%
Other values (72)	99272	38.8%

Value	Count	Frequency (%)
é	148	11.1%
ð	101	7.6%
ê	81	6.1%
ö	74	5.6%
ł	72	5.4%
á	66	5.0%
ú	61	4.6%
ø	60	4.5%
â	57	4.3%
ò	50	3.8%
Other values (37)	558	42.0%

Value	Count	Frequency (%)
а	141	12.9%
н	92	8.4%
с	82	7.5%
р	57	5.2%
е	53	4.8%
и	53	4.8%
т	49	4.5%
о	44	4.0%
л	42	3.8%
д	36	3.3%
Other values (41)	448	40.8%

Value	Count	Frequency (%)
’	4	36.4%
“	3	27.3%
”	3	27.3%
‘	1	9.1%

Value	Count	Frequency (%)
さ	2	11.8%
を	2	11.8%
の	1	5.9%
゙	1	5.9%
や	1	5.9%
し	1	5.9%
い	1	5.9%
に	1	5.9%
け	1	5.9%
る	1	5.9%
Other values (5)	5	29.4%

Value	Count	Frequency (%)
奇	1	5.3%
想	1	5.3%
曲	1	5.3%
作	1	5.3%
品	1	5.3%
長	1	5.3%
調	1	5.3%
伴	1	5.3%
侶	1	5.3%
夜	1	5.3%
Other values (9)	9	47.4%

Value	Count	Frequency (%)
・	6	14.6%
ー	5	12.2%
ラ	3	7.3%
ワ	2	4.9%
ン	2	4.9%
ウ	2	4.9%
イ	2	4.9%
ホ	1	2.4%
サ	1	2.4%
ム	1	2.4%
Other values (16)	16	39.0%

Value	Count	Frequency (%)
ص	11	25.0%
ا	11	25.0%
م	11	25.0%
د	11	25.0%

Value	Count	Frequency (%)
ו	2	25.0%
ר	1	12.5%
צ	1	12.5%
ה	1	12.5%
ש	1	12.5%
ל	1	12.5%
ם	1	12.5%

id_
Categorical

HIGH CARDINALITY

Distinct	2346
Distinct (%)	24.9%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

47RKik1fxUhA4KAqXyS3oe	48
53c2c64hy7nMmx0PaRY3fX	46
7gVGBGI4ZqvkYBlh2LdrQy	43
6ZayQVBqAsaBxqWiHZHeq5	43
4APjoR6Fmrrl707Z1cShHS	41
Other values (2341)	9210

Length

Max length	22
Median length	22
Mean length	22
Min length	22

Characters and Unicode

Total characters	207482
Distinct characters	62
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1256 ?
Unique (%)	13.3%

Sample

1st row	7vR6QjmkczDUUTQwhpeUdM
2nd row	7vR6QjmkczDUUTQwhpeUdM
3rd row	5CBXjtjqToJ3sw0nCPdVDU
4th row	2GitKhuY13f5ZLfIXVJcNU
5th row	3nnf7oDfeQ2zsnGFA3AhOP

Value	Count	Frequency (%)
47RKik1fxUhA4KAqXyS3oe	48	0.5%
53c2c64hy7nMmx0PaRY3fX	46	0.5%
7gVGBGI4ZqvkYBlh2LdrQy	43	0.5%
6ZayQVBqAsaBxqWiHZHeq5	43	0.5%
4APjoR6Fmrrl707Z1cShHS	41	0.4%
18A7ha5BitZjmdHTCwXFbU	41	0.4%
5ogtb9bGQoH8CjZNxmbNHR	38	0.4%
43bYs8QkPdCdy5esfnmU1T	38	0.4%
2dQvZpEkO26i4za9d746WC	38	0.4%
0LiXd8DgPozcJVQq3QceEh	37	0.4%
Other values (2336)	9018	95.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
47rkik1fxuha4kaqxys3oe	48	0.5%
53c2c64hy7nmmx0pary3fx	46	0.5%
6zayqvbqasabxqwihzheq5	43	0.5%
7gvgbgi4zqvkyblh2ldrqy	43	0.5%
18a7ha5bitzjmdhtcwxfbu	41	0.4%
4apjor6fmrrl707z1cshhs	41	0.4%
2dqvzpeko26i4za9d746wc	38	0.4%
43bys8qkpdcdy5esfnmu1t	38	0.4%
5ogtb9bgqoh8cjznxmbnhr	38	0.4%
0lixd8dgpozcjvqq3qceeh	37	0.4%
Other values (2336)	9018	95.6%

Most occurring characters

Value	Count	Frequency (%)
4	4815	2.3%
1	4788	2.3%
5	4662	2.2%
7	4411	2.1%
0	4305	2.1%
2	4298	2.1%
6	4081	2.0%
3	4079	2.0%
H	3590	1.7%
b	3572	1.7%
Other values (52)	164881	79.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	83796	40.4%
Uppercase Letter	81674	39.4%
Decimal Number	42012	20.2%

Most frequent character per category

Value	Count	Frequency (%)
b	3572	4.3%
c	3468	4.1%
f	3443	4.1%
j	3427	4.1%
e	3418	4.1%
d	3372	4.0%
h	3350	4.0%
a	3336	4.0%
q	3299	3.9%
y	3288	3.9%
Other values (16)	49823	59.5%

Value	Count	Frequency (%)
H	3590	4.4%
B	3501	4.3%
Q	3433	4.2%
U	3404	4.2%
P	3334	4.1%
R	3271	4.0%
Y	3267	4.0%
C	3255	4.0%
Z	3239	4.0%
N	3236	4.0%
Other values (16)	48144	58.9%

Value	Count	Frequency (%)
4	4815	11.5%
1	4788	11.4%
5	4662	11.1%
7	4411	10.5%
0	4305	10.2%
2	4298	10.2%
6	4081	9.7%
3	4079	9.7%
9	3338	7.9%
8	3235	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	165470	79.8%
Common	42012	20.2%

Most frequent character per script

Value	Count	Frequency (%)
H	3590	2.2%
b	3572	2.2%
B	3501	2.1%
c	3468	2.1%
f	3443	2.1%
Q	3433	2.1%
j	3427	2.1%
e	3418	2.1%
U	3404	2.1%
d	3372	2.0%
Other values (42)	130842	79.1%

Value	Count	Frequency (%)
4	4815	11.5%
1	4788	11.4%
5	4662	11.1%
7	4411	10.5%
0	4305	10.2%
2	4298	10.2%
6	4081	9.7%
3	4079	9.7%
9	3338	7.9%
8	3235	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	207482	100.0%

Most frequent character per block

Value	Count	Frequency (%)
4	4815	2.3%
1	4788	2.3%
5	4662	2.2%
7	4411	2.1%
0	4305	2.1%
2	4298	2.1%
6	4081	2.0%
3	4079	2.0%
H	3590	1.7%
b	3572	1.7%
Other values (52)	164881	79.5%

album_type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

album	9431

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	47155
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	album
2nd row	album
3rd row	album
4th row	album
5th row	album

Value	Count	Frequency (%)
album	9431	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
album	9431	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	9431	20.0%
l	9431	20.0%
b	9431	20.0%
u	9431	20.0%
m	9431	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	47155	100.0%

Most frequent character per category

Value	Count	Frequency (%)
a	9431	20.0%
l	9431	20.0%
b	9431	20.0%
u	9431	20.0%
m	9431	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47155	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	9431	20.0%
l	9431	20.0%
b	9431	20.0%
u	9431	20.0%
m	9431	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47155	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	9431	20.0%
l	9431	20.0%
b	9431	20.0%
u	9431	20.0%
m	9431	20.0%

album_id
Categorical

HIGH CARDINALITY

Distinct	1675
Distinct (%)	17.8%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

6uyslsVGFsHKzdGUosFwBM	210
4nT0yWWQkwLLtZdXSOKvO9	206
6pYNEn4tMc6gdv5fIZf5yn	119
4zyqNfmTrnvUejh8M1IEh9	105
2av2ZSHlvD7rvLSsMvtYCG	96
Other values (1670)	8695

Length

Max length	22
Median length	22
Mean length	22
Min length	22

Characters and Unicode

Total characters	207482
Distinct characters	62
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	856 ?
Unique (%)	9.1%

Sample

1st row	6ClMVcmFacF795m4jJZRpx
2nd row	6ClMVcmFacF795m4jJZRpx
3rd row	3qsB60Pmng0d7kg1hZHIzB
4th row	6ClMVcmFacF795m4jJZRpx
5th row	16QCBn9N48I2Dv8K31K5RL

Value	Count	Frequency (%)
6uyslsVGFsHKzdGUosFwBM	210	2.2%
4nT0yWWQkwLLtZdXSOKvO9	206	2.2%
6pYNEn4tMc6gdv5fIZf5yn	119	1.3%
4zyqNfmTrnvUejh8M1IEh9	105	1.1%
2av2ZSHlvD7rvLSsMvtYCG	96	1.0%
4kEbcH3VT6NYfpv8Wkkk80	96	1.0%
7bv71kWKSKlcOlhqXNNPMm	94	1.0%
0Jxn7c5MQwqvkahOp4YiB5	93	1.0%
3stadz88XVpHcXnVYMHc4J	89	0.9%
5nalJu58LJj7AMMyHwtbLX	69	0.7%
Other values (1665)	8254	87.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
6uyslsvgfshkzdguosfwbm	210	2.2%
4nt0ywwqkwlltzdxsokvo9	206	2.2%
6pynen4tmc6gdv5fizf5yn	119	1.3%
4zyqnfmtrnvuejh8m1ieh9	105	1.1%
4kebch3vt6nyfpv8wkkk80	96	1.0%
2av2zshlvd7rvlssmvtycg	96	1.0%
7bv71kwksklcolhqxnnpmm	94	1.0%
0jxn7c5mqwqvkahop4yib5	93	1.0%
3stadz88xvphcxnvymhc4j	89	0.9%
5nalju58ljj7ammyhwtblx	69	0.7%
Other values (1665)	8254	87.5%

Most occurring characters

Value	Count	Frequency (%)
6	4332	2.1%
5	4288	2.1%
4	4237	2.0%
1	4209	2.0%
7	4180	2.0%
0	4105	2.0%
3	3953	1.9%
s	3923	1.9%
2	3783	1.8%
l	3780	1.8%
Other values (52)	166692	80.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	84648	40.8%
Uppercase Letter	83172	40.1%
Decimal Number	39662	19.1%

Most frequent character per category

Value	Count	Frequency (%)
S	3716	4.5%
H	3629	4.4%
M	3612	4.3%
V	3474	4.2%
F	3451	4.1%
W	3435	4.1%
G	3431	4.1%
J	3401	4.1%
L	3375	4.1%
N	3323	4.0%
Other values (16)	48325	58.1%

Value	Count	Frequency (%)
s	3923	4.6%
l	3780	4.5%
k	3734	4.4%
v	3691	4.4%
n	3629	4.3%
y	3571	4.2%
a	3439	4.1%
d	3436	4.1%
w	3368	4.0%
z	3273	3.9%
Other values (16)	48804	57.7%

Value	Count	Frequency (%)
6	4332	10.9%
5	4288	10.8%
4	4237	10.7%
1	4209	10.6%
7	4180	10.5%
0	4105	10.3%
3	3953	10.0%
2	3783	9.5%
8	3496	8.8%
9	3079	7.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	167820	80.9%
Common	39662	19.1%

Most frequent character per script

Value	Count	Frequency (%)
s	3923	2.3%
l	3780	2.3%
k	3734	2.2%
S	3716	2.2%
v	3691	2.2%
n	3629	2.2%
H	3629	2.2%
M	3612	2.2%
y	3571	2.1%
V	3474	2.1%
Other values (42)	131061	78.1%

Value	Count	Frequency (%)
6	4332	10.9%
5	4288	10.8%
4	4237	10.7%
1	4209	10.6%
7	4180	10.5%
0	4105	10.3%
3	3953	10.0%
2	3783	9.5%
8	3496	8.8%
9	3079	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	207482	100.0%

Most frequent character per block

Value	Count	Frequency (%)
6	4332	2.1%
5	4288	2.1%
4	4237	2.0%
1	4209	2.0%
7	4180	2.0%
0	4105	2.0%
3	3953	1.9%
s	3923	1.9%
2	3783	1.8%
l	3780	1.8%
Other values (52)	166692	80.3%

album_name
Categorical

HIGH CARDINALITY

Distinct	1661
Distinct (%)	17.6%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

racine carrée	210
Neyslutrans	206
The Witcher 3: Wild Hunt (Original Game Soundtrack)	119
Miss Anthropocene (Deluxe Edition)	105
xx	96
Other values (1656)	8695

Length

Max length	243
Median length	13
Mean length	17.40663768
Min length	1

Characters and Unicode

Total characters	164162
Distinct characters	216
Distinct categories	15 ?
Distinct scripts	8 ?
Distinct blocks	8 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	842 ?
Unique (%)	8.9%

Sample

1st row	Beethoven for Brainpower
2nd row	Beethoven for Brainpower
3rd row	Couperin: Les Ombres Errantes
4th row	Beethoven for Brainpower
5th row	A Day with Beethoven

Value	Count	Frequency (%)
racine carrée	210	2.2%
Neyslutrans	206	2.2%
The Witcher 3: Wild Hunt (Original Game Soundtrack)	119	1.3%
Miss Anthropocene (Deluxe Edition)	105	1.1%
xx	96	1.0%
Cheese	96	1.0%
The Destroyer - 1	94	1.0%
If You Wait (Deluxe Version)	93	1.0%
SAWAYAMA	89	0.9%
Rest	69	0.7%
Other values (1651)	8254	87.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1392	5.1%
	612	2.2%
deluxe	548	2.0%
of	460	1.7%
edition	430	1.6%
original	245	0.9%
a	234	0.9%
in	231	0.8%
soundtrack	226	0.8%
you	222	0.8%
Other values (2629)	22898	83.3%

Most occurring characters

Value	Count	Frequency (%)
	18067	11.0%
e	15154	9.2%
i	9780	6.0%
a	8843	5.4%
n	8756	5.3%
o	8478	5.2%
r	7935	4.8%
t	7405	4.5%
s	6795	4.1%
l	5904	3.6%
Other values (206)	67045	40.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	110767	67.5%
Uppercase Letter	27527	16.8%
Space Separator	18067	11.0%
Decimal Number	2084	1.3%
Other Punctuation	1919	1.2%
Open Punctuation	1540	0.9%
Close Punctuation	1540	0.9%
Dash Punctuation	508	0.3%
Math Symbol	63	< 0.1%
Other Letter	63	< 0.1%
Other values (5)	84	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	15154	13.7%
i	9780	8.8%
a	8843	8.0%
n	8756	7.9%
o	8478	7.7%
r	7935	7.2%
t	7405	6.7%
s	6795	6.1%
l	5904	5.3%
u	4415	4.0%
Other values (67)	27302	24.6%

Value	Count	Frequency (%)
T	2649	9.6%
S	2540	9.2%
D	2152	7.8%
A	1780	6.5%
E	1658	6.0%
M	1632	5.9%
I	1471	5.3%
B	1298	4.7%
C	1249	4.5%
W	1212	4.4%
Other values (39)	9886	35.9%

Value	Count	Frequency (%)
ラ	4	6.3%
ィ	3	4.8%
イ	3	4.8%
ン	3	4.8%
カ	2	3.2%
ニ	2	3.2%
フ	2	3.2%
プ	2	3.2%
ソ	2	3.2%
デ	2	3.2%
Other values (35)	38	60.3%

Value	Count	Frequency (%)
.	505	26.3%
:	456	23.8%
,	301	15.7%
'	273	14.2%
&	166	8.7%
/	86	4.5%
!	39	2.0%
;	34	1.8%
?	29	1.5%
"	14	0.7%
Other values (7)	16	0.8%

Value	Count	Frequency (%)
2	493	23.7%
1	466	22.4%
0	370	17.8%
3	216	10.4%
8	111	5.3%
7	103	4.9%
6	100	4.8%
9	90	4.3%
4	77	3.7%
5	58	2.8%

Value	Count	Frequency (%)
~	27	42.9%
+	25	39.7%
<	10	15.9%
>	1	1.6%

Value	Count	Frequency (%)
-	498	98.0%
–	8	1.6%
〜	2	0.4%

Value	Count	Frequency (%)
(	1501	97.5%
[	39	2.5%

Value	Count	Frequency (%)
)	1501	97.5%
]	39	2.5%

Value	Count	Frequency (%)
゚	2	66.7%
゙	1	33.3%

Value	Count	Frequency (%)
	18067	100.0%

Value	Count	Frequency (%)
’	54	100.0%

Value	Count	Frequency (%)
°	18	100.0%

Value	Count	Frequency (%)
ー	7	100.0%

Value	Count	Frequency (%)
£	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	137010	83.5%
Common	25802	15.7%
Cyrillic	1284	0.8%
Katakana	38	< 0.1%
Han	9	< 0.1%
Hiragana	8	< 0.1%
Hebrew	8	< 0.1%
Inherited	3	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	15154	11.1%
i	9780	7.1%
a	8843	6.5%
n	8756	6.4%
o	8478	6.2%
r	7935	5.8%
t	7405	5.4%
s	6795	5.0%
l	5904	4.3%
u	4415	3.2%
Other values (70)	53545	39.1%

Value	Count	Frequency (%)
а	190	14.8%
с	126	9.8%
л	103	8.0%
к	74	5.8%
и	74	5.8%
н	66	5.1%
р	65	5.1%
т	48	3.7%
з	43	3.3%
ь	40	3.1%
Other values (36)	455	35.4%

Value	Count	Frequency (%)
	18067	70.0%
(	1501	5.8%
)	1501	5.8%
.	505	2.0%
-	498	1.9%
2	493	1.9%
1	466	1.8%
:	456	1.8%
0	370	1.4%
,	301	1.2%
Other values (33)	1644	6.4%

Value	Count	Frequency (%)
ラ	4	10.5%
ィ	3	7.9%
イ	3	7.9%
ン	3	7.9%
カ	2	5.3%
ニ	2	5.3%
フ	2	5.3%
プ	2	5.3%
ソ	2	5.3%
デ	2	5.3%
Other values (11)	13	34.2%

Value	Count	Frequency (%)
作	1	11.1%
品	1	11.1%
名	1	11.1%
曲	1	11.1%
集	1	11.1%
夜	1	11.1%
駆	1	11.1%
虹	1	11.1%
炎	1	11.1%

Value	Count	Frequency (%)
の	1	12.5%
に	1	12.5%
け	1	12.5%
る	1	12.5%
ぎ	1	12.5%
ゅ	1	12.5%
っ	1	12.5%
と	1	12.5%

Value	Count	Frequency (%)
ו	2	25.0%
ר	1	12.5%
צ	1	12.5%
ה	1	12.5%
ש	1	12.5%
ל	1	12.5%
ם	1	12.5%

Value	Count	Frequency (%)
゚	2	66.7%
゙	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	162165	98.8%
Cyrillic	1284	0.8%
None	573	0.3%
Punctuation	63	< 0.1%
Katakana	49	< 0.1%
Hiragana	11	< 0.1%
CJK	9	< 0.1%
Hebrew	8	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	18067	11.1%
e	15154	9.3%
i	9780	6.0%
a	8843	5.5%
n	8756	5.4%
o	8478	5.2%
r	7935	4.9%
t	7405	4.6%
s	6795	4.2%
l	5904	3.6%
Other values (74)	65048	40.1%

Value	Count	Frequency (%)
é	279	48.7%
ä	47	8.2%
ê	39	6.8%
á	29	5.1%
è	25	4.4%
Ü	25	4.4%
°	18	3.1%
ö	18	3.1%
ë	15	2.6%
ñ	13	2.3%
Other values (24)	65	11.3%

Value	Count	Frequency (%)
а	190	14.8%
с	126	9.8%
л	103	8.0%
к	74	5.8%
и	74	5.8%
н	66	5.1%
р	65	5.1%
т	48	3.7%
з	43	3.3%
ь	40	3.1%
Other values (36)	455	35.4%

Value	Count	Frequency (%)
’	54	85.7%
–	8	12.7%
…	1	1.6%

Value	Count	Frequency (%)
ー	7	14.3%
ラ	4	8.2%
・	4	8.2%
ィ	3	6.1%
イ	3	6.1%
ン	3	6.1%
カ	2	4.1%
ニ	2	4.1%
フ	2	4.1%
プ	2	4.1%
Other values (13)	17	34.7%

Value	Count	Frequency (%)
゚	2	18.2%
゙	1	9.1%
の	1	9.1%
に	1	9.1%
け	1	9.1%
る	1	9.1%
ぎ	1	9.1%
ゅ	1	9.1%
っ	1	9.1%
と	1	9.1%

Value	Count	Frequency (%)
作	1	11.1%
品	1	11.1%
名	1	11.1%
曲	1	11.1%
集	1	11.1%
夜	1	11.1%
駆	1	11.1%
虹	1	11.1%
炎	1	11.1%

Value	Count	Frequency (%)
ו	2	25.0%
ר	1	12.5%
צ	1	12.5%
ה	1	12.5%
ש	1	12.5%
ל	1	12.5%
ם	1	12.5%

album_release_date
Date

Distinct	1043
Distinct (%)	11.1%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

Minimum	1961-01-01 00:00:00
Maximum	2021-01-26 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

artist1_id
Categorical

HIGH CARDINALITY

Distinct	1073
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

5j4HeCoUlzhfWtjAfM1acR	307
3AA28KZvwAUcZuOKwyblJQ	266
053q0ukIDRgzwTr4vNSwab	231
3yX8kCojnUAJJ1eWGZT38j	216
223iUzG0kb5V166FJP9ovD	195
Other values (1068)	8216

Length

Max length	22
Median length	22
Mean length	22
Min length	22

Characters and Unicode

Total characters	207482
Distinct characters	62
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	506 ?
Unique (%)	5.4%

Sample

1st row	2wOqMjp9TyABvtHdOSOTUS
2nd row	2wOqMjp9TyABvtHdOSOTUS
3rd row	4kVLtXuKJTE7SgYd2sQtaL
4th row	2wOqMjp9TyABvtHdOSOTUS
5th row	2wOqMjp9TyABvtHdOSOTUS

Value	Count	Frequency (%)
5j4HeCoUlzhfWtjAfM1acR	307	3.3%
3AA28KZvwAUcZuOKwyblJQ	266	2.8%
053q0ukIDRgzwTr4vNSwab	231	2.4%
3yX8kCojnUAJJ1eWGZT38j	216	2.3%
223iUzG0kb5V166FJP9ovD	195	2.1%
64NhyHqRKYhV0IZylrElWu	156	1.7%
4Z8W4fKeB5YxbusRsdQVPb	123	1.3%
3iOvXCl6edW5Um0fXEBRXy	101	1.1%
3kjuyTCjPG1WMFCiyc5IuB	101	1.1%
5isqImG0rLfAgBJSPMEVXF	98	1.0%
Other values (1063)	7637	81.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
5j4hecoulzhfwtjafm1acr	307	3.3%
3aa28kzvwauczuokwybljq	266	2.8%
053q0ukidrgzwtr4vnswab	231	2.4%
3yx8kcojnuajj1ewgzt38j	216	2.3%
223iuzg0kb5v166fjp9ovd	195	2.1%
64nhyhqrkyhv0izylrelwu	156	1.7%
4z8w4fkeb5yxbusrsdqvpb	123	1.3%
3iovxcl6edw5um0fxebrxy	101	1.1%
3kjuytcjpg1wmfciyc5iub	101	1.1%
5isqimg0rlfagbjspmevxf	98	1.0%
Other values (1063)	7637	81.0%

Most occurring characters

Value	Count	Frequency (%)
3	5037	2.4%
5	5019	2.4%
1	4521	2.2%
6	4440	2.1%
0	4362	2.1%
2	4115	2.0%
4	4105	2.0%
v	4102	2.0%
8	3807	1.8%
J	3795	1.8%
Other values (52)	164179	79.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	83363	40.2%
Lowercase Letter	82588	39.8%
Decimal Number	41531	20.0%

Most frequent character per category

Value	Count	Frequency (%)
v	4102	5.0%
j	3716	4.5%
z	3684	4.5%
y	3562	4.3%
f	3550	4.3%
l	3504	4.2%
u	3501	4.2%
b	3474	4.2%
w	3417	4.1%
i	3284	4.0%
Other values (16)	46794	56.7%

Value	Count	Frequency (%)
J	3795	4.6%
C	3791	4.5%
U	3748	4.5%
K	3721	4.5%
X	3666	4.4%
Z	3593	4.3%
W	3587	4.3%
R	3547	4.3%
A	3535	4.2%
B	3265	3.9%
Other values (16)	47115	56.5%

Value	Count	Frequency (%)
3	5037	12.1%
5	5019	12.1%
1	4521	10.9%
6	4440	10.7%
0	4362	10.5%
2	4115	9.9%
4	4105	9.9%
8	3807	9.2%
7	3363	8.1%
9	2762	6.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	165951	80.0%
Common	41531	20.0%

Most frequent character per script

Value	Count	Frequency (%)
v	4102	2.5%
J	3795	2.3%
C	3791	2.3%
U	3748	2.3%
K	3721	2.2%
j	3716	2.2%
z	3684	2.2%
X	3666	2.2%
Z	3593	2.2%
W	3587	2.2%
Other values (42)	128548	77.5%

Value	Count	Frequency (%)
3	5037	12.1%
5	5019	12.1%
1	4521	10.9%
6	4440	10.7%
0	4362	10.5%
2	4115	9.9%
4	4105	9.9%
8	3807	9.2%
7	3363	8.1%
9	2762	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	207482	100.0%

Most frequent character per block

Value	Count	Frequency (%)
3	5037	2.4%
5	5019	2.4%
1	4521	2.2%
6	4440	2.1%
0	4362	2.1%
2	4115	2.0%
4	4105	2.0%
v	4102	2.0%
8	3807	1.8%
J	3795	1.8%
Other values (52)	164179	79.1%

artist1_name
Categorical

HIGH CARDINALITY

Distinct	1073
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

Stromae	307
Gorillaz	266
Grimes	231
Hatari	216
IAMX	195
Other values (1068)	8216

Length

Max length	34
Median length	10
Mean length	10.33103595
Min length	2

Characters and Unicode

Total characters	97432
Distinct characters	117
Distinct categories	9 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	506 ?
Unique (%)	5.4%

Sample

1st row	Ludwig van Beethoven
2nd row	Ludwig van Beethoven
3rd row	François Couperin
4th row	Ludwig van Beethoven
5th row	Ludwig van Beethoven

Value	Count	Frequency (%)
Stromae	307	3.3%
Gorillaz	266	2.8%
Grimes	231	2.4%
Hatari	216	2.3%
IAMX	195	2.1%
TR/ST	156	1.7%
Radiohead	123	1.3%
The xx	101	1.1%
Arcade Fire	101	1.1%
Blonde Redhead	98	1.0%
Other values (1063)	7637	81.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
the	968	6.0%
stromae	307	1.9%
gorillaz	266	1.7%
grimes	231	1.4%
hatari	216	1.3%
iamx	195	1.2%
tr/st	156	1.0%
white	136	0.8%
radiohead	123	0.8%
franz	102	0.6%
Other values (1619)	13309	83.1%

Most occurring characters

Value	Count	Frequency (%)
e	8309	8.5%
a	8036	8.2%
	6578	6.8%
i	6188	6.4%
r	5845	6.0%
o	5655	5.8%
n	4966	5.1%
t	4045	4.2%
s	4017	4.1%
l	3654	3.8%
Other values (107)	40139	41.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	70404	72.3%
Uppercase Letter	19578	20.1%
Space Separator	6578	6.8%
Other Punctuation	596	0.6%
Decimal Number	125	0.1%
Dash Punctuation	86	0.1%
Math Symbol	59	0.1%
Other Letter	5	< 0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	8309	11.8%
a	8036	11.4%
i	6188	8.8%
r	5845	8.3%
o	5655	8.0%
n	4966	7.1%
t	4045	5.7%
s	4017	5.7%
l	3654	5.2%
h	3175	4.5%
Other values (43)	16514	23.5%

Value	Count	Frequency (%)
S	2020	10.3%
T	1809	9.2%
M	1489	7.6%
G	1188	6.1%
R	1146	5.9%
B	1077	5.5%
F	1073	5.5%
D	1060	5.4%
A	1054	5.4%
C	1007	5.1%
Other values (25)	6655	34.0%

Value	Count	Frequency (%)
9	24	19.2%
8	24	19.2%
7	20	16.0%
6	18	14.4%
4	18	14.4%
3	11	8.8%
0	5	4.0%
2	3	2.4%
5	1	0.8%
1	1	0.8%

Value	Count	Frequency (%)
/	158	26.5%
.	140	23.5%
!	130	21.8%
'	86	14.4%
&	56	9.4%
,	15	2.5%
"	8	1.3%
:	2	0.3%
。	1	0.2%

Value	Count	Frequency (%)
優	1	20.0%
里	1	20.0%
も	1	20.0%
さ	1	20.0%
を	1	20.0%

Value	Count	Frequency (%)
\|	39	66.1%
+	20	33.9%

Value	Count	Frequency (%)
	6578	100.0%

Value	Count	Frequency (%)
-	86	100.0%

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	89957	92.3%
Common	7445	7.6%
Cyrillic	25	< 0.1%
Hiragana	3	< 0.1%
Han	2	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	8309	9.2%
a	8036	8.9%
i	6188	6.9%
r	5845	6.5%
o	5655	6.3%
n	4966	5.5%
t	4045	4.5%
s	4017	4.5%
l	3654	4.1%
h	3175	3.5%
Other values (68)	36067	40.1%

Value	Count	Frequency (%)
	6578	88.4%
/	158	2.1%
.	140	1.9%
!	130	1.7%
-	86	1.2%
'	86	1.2%
&	56	0.8%
\|	39	0.5%
9	24	0.3%
8	24	0.3%
Other values (14)	124	1.7%

Value	Count	Frequency (%)
д	7	28.0%
а	5	20.0%
н	4	16.0%
р	2	8.0%
Х	2	8.0%
Н	1	4.0%
е	1	4.0%
в	1	4.0%
ы	1	4.0%
о	1	4.0%

Value	Count	Frequency (%)
も	1	33.3%
さ	1	33.3%
を	1	33.3%

Value	Count	Frequency (%)
優	1	50.0%
里	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96759	99.3%
None	643	0.7%
Cyrillic	25	< 0.1%
Hiragana	3	< 0.1%
CJK	2	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
e	8309	8.6%
a	8036	8.3%
	6578	6.8%
i	6188	6.4%
r	5845	6.0%
o	5655	5.8%
n	4966	5.1%
t	4045	4.2%
s	4017	4.2%
l	3654	3.8%
Other values (65)	39466	40.8%

Value	Count	Frequency (%)
é	97	15.1%
ł	69	10.7%
ö	66	10.3%
ø	59	9.2%
ð	40	6.2%
ó	38	5.9%
ë	36	5.6%
Ü	34	5.3%
í	32	5.0%
ò	31	4.8%
Other values (17)	141	21.9%

Value	Count	Frequency (%)
д	7	28.0%
а	5	20.0%
н	4	16.0%
р	2	8.0%
Х	2	8.0%
Н	1	4.0%
е	1	4.0%
в	1	4.0%
ы	1	4.0%
о	1	4.0%

Value	Count	Frequency (%)
優	1	50.0%
里	1	50.0%

Value	Count	Frequency (%)
も	1	33.3%
さ	1	33.3%
を	1	33.3%

artist1_type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

artist	9431

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	56586
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	artist
2nd row	artist
3rd row	artist
4th row	artist
5th row	artist

Value	Count	Frequency (%)
artist	9431	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
artist	9431	100.0%

Most occurring characters

Value	Count	Frequency (%)
t	18862	33.3%
a	9431	16.7%
r	9431	16.7%
i	9431	16.7%
s	9431	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	56586	100.0%

Most frequent character per category

Value	Count	Frequency (%)
t	18862	33.3%
a	9431	16.7%
r	9431	16.7%
i	9431	16.7%
s	9431	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	56586	100.0%

Most frequent character per script

Value	Count	Frequency (%)
t	18862	33.3%
a	9431	16.7%
r	9431	16.7%
i	9431	16.7%
s	9431	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56586	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	18862	33.3%
a	9431	16.7%
r	9431	16.7%
i	9431	16.7%
s	9431	16.7%

artist2_id
Categorical

HIGH CARDINALITY
MISSING

Distinct	409
Distinct (%)	28.6%
Missing	8003
Missing (%)	84.9%
Memory size	147.4 KiB

1FvIWbYLm8dBezbdjucrZb	43
1XaPI6thQ3zTKqIU6sCvd2	40
5dDQASlR9FyeP4VO0jw35F	38
5j4HeCoUlzhfWtjAfM1acR	36
2x7X3t5RZDXMpcxHabxPiN	32
Other values (404)	1239

Length

Max length	22
Median length	22
Mean length	22
Min length	22

Characters and Unicode

Total characters	31416
Distinct characters	62
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	241 ?
Unique (%)	16.9%

Sample

1st row	1mIuhlEoWepcSBZp60nd57
2nd row	1mIuhlEoWepcSBZp60nd57
3rd row	6ACU5c6yaqQdW5u8bRNCvW
4th row	3ldMTcot7OqW9irqQMP0wu
5th row	5w8T4OOA2gPqsga2b69563

Value	Count	Frequency (%)
1FvIWbYLm8dBezbdjucrZb	43	0.5%
1XaPI6thQ3zTKqIU6sCvd2	40	0.4%
5dDQASlR9FyeP4VO0jw35F	38	0.4%
5j4HeCoUlzhfWtjAfM1acR	36	0.4%
2x7X3t5RZDXMpcxHabxPiN	32	0.3%
4CvTDPKA6W06DRfBnZKrau	23	0.2%
6K4I1MPd7m8IztUdtrF4YU	22	0.2%
5W10uJRsbt9bROJDKoI1Wn	20	0.2%
6viUqm7m1tI9x3EIo0dTLR	20	0.2%
6x8B9oOGkqFDtUUbWf2vpP	19	0.2%
Other values (399)	1135	12.0%
(Missing)	8003	84.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1fviwbylm8dbezbdjucrzb	43	3.0%
1xapi6thq3ztkqiu6scvd2	40	2.8%
5ddqaslr9fyep4vo0jw35f	38	2.7%
5j4hecoulzhfwtjafm1acr	36	2.5%
2x7x3t5rzdxmpcxhabxpin	32	2.2%
4cvtdpka6w06drfbnzkrau	23	1.6%
6k4i1mpd7m8iztudtrf4yu	22	1.5%
5w10ujrsbt9brojdkoi1wn	20	1.4%
6viuqm7m1ti9x3eio0dtlr	20	1.4%
6x8b9oogkqfdtuubwf2vpp	19	1.3%
Other values (399)	1135	79.5%

Most occurring characters

Value	Count	Frequency (%)
6	738	2.3%
0	735	2.3%
2	728	2.3%
5	693	2.2%
4	683	2.2%
I	682	2.2%
3	660	2.1%
1	654	2.1%
c	634	2.0%
d	626	2.0%
Other values (52)	24583	78.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12874	41.0%
Uppercase Letter	12203	38.8%
Decimal Number	6339	20.2%

Most frequent character per category

Value	Count	Frequency (%)
c	634	4.9%
d	626	4.9%
m	620	4.8%
v	603	4.7%
b	591	4.6%
t	585	4.5%
q	551	4.3%
o	536	4.2%
z	527	4.1%
f	525	4.1%
Other values (16)	7076	55.0%

Value	Count	Frequency (%)
I	682	5.6%
U	616	5.0%
W	603	4.9%
R	569	4.7%
F	538	4.4%
P	537	4.4%
X	512	4.2%
Q	506	4.1%
Z	498	4.1%
D	492	4.0%
Other values (16)	6650	54.5%

Value	Count	Frequency (%)
6	738	11.6%
0	735	11.6%
2	728	11.5%
5	693	10.9%
4	683	10.8%
3	660	10.4%
1	654	10.3%
7	571	9.0%
9	465	7.3%
8	412	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25077	79.8%
Common	6339	20.2%

Most frequent character per script

Value	Count	Frequency (%)
I	682	2.7%
c	634	2.5%
d	626	2.5%
m	620	2.5%
U	616	2.5%
W	603	2.4%
v	603	2.4%
b	591	2.4%
t	585	2.3%
R	569	2.3%
Other values (42)	18948	75.6%

Value	Count	Frequency (%)
6	738	11.6%
0	735	11.6%
2	728	11.5%
5	693	10.9%
4	683	10.8%
3	660	10.4%
1	654	10.3%
7	571	9.0%
9	465	7.3%
8	412	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31416	100.0%

Most frequent character per block

Value	Count	Frequency (%)
6	738	2.3%
0	735	2.3%
2	728	2.3%
5	693	2.2%
4	683	2.2%
I	682	2.2%
3	660	2.1%
1	654	2.1%
c	634	2.0%
d	626	2.0%
Other values (52)	24583	78.2%

artist2_name
Categorical

HIGH CARDINALITY
MISSING

Distinct	408
Distinct (%)	28.6%
Missing	8003
Missing (%)	84.9%
Memory size	147.4 KiB

GDRN	43
Gothenburg Symphony Orchestra	40
Sage	38
Stromae	36
Pavel Haas Quartet	32
Other values (403)	1239

Length

Max length	38
Median length	12
Mean length	12.70588235
Min length	2

Characters and Unicode

Total characters	18144
Distinct characters	101
Distinct categories	9 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	241 ?
Unique (%)	16.9%

Sample

1st row	LaSalle Quartet
2nd row	LaSalle Quartet
3rd row	Iddo Bar-Shaï
4th row	Wiener Philharmonisches Kammerensemble
5th row	Yves Nat

Value	Count	Frequency (%)
GDRN	43	0.5%
Gothenburg Symphony Orchestra	40	0.4%
Sage	38	0.4%
Stromae	36	0.4%
Pavel Haas Quartet	32	0.3%
Alex Turner	23	0.2%
Thom Yorke	23	0.2%
Samuel T. Herring	22	0.2%
Moses Sumney	20	0.2%
CYBER	20	0.2%
Other values (398)	1131	12.0%
(Missing)	8003	84.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
orchestra	70	2.5%
symphony	60	2.2%
gdrn	43	1.6%
gothenburg	40	1.4%
sage	38	1.4%
quartet	36	1.3%
stromae	36	1.3%
pavel	32	1.2%
haas	32	1.2%
of	30	1.1%
Other values (697)	2347	84.9%

Most occurring characters

Value	Count	Frequency (%)
a	1667	9.2%
e	1570	8.7%
	1336	7.4%
r	1273	7.0%
n	1127	6.2%
o	1060	5.8%
i	954	5.3%
t	691	3.8%
l	632	3.5%
s	620	3.4%
Other values (91)	7214	39.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13643	75.2%
Uppercase Letter	3046	16.8%
Space Separator	1336	7.4%
Other Punctuation	56	0.3%
Dash Punctuation	21	0.1%
Connector Punctuation	18	0.1%
Other Letter	14	0.1%
Decimal Number	9	< 0.1%
Modifier Letter	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	1667	12.2%
e	1570	11.5%
r	1273	9.3%
n	1127	8.3%
o	1060	7.8%
i	954	7.0%
t	691	5.1%
l	632	4.6%
s	620	4.5%
h	608	4.5%
Other values (32)	3441	25.2%

Value	Count	Frequency (%)
S	384	12.6%
M	266	8.7%
B	208	6.8%
G	203	6.7%
P	189	6.2%
R	189	6.2%
D	176	5.8%
A	171	5.6%
T	167	5.5%
C	144	4.7%
Other values (20)	949	31.2%

Value	Count	Frequency (%)
フ	2	14.3%
マ	1	7.1%
キ	1	7.1%
シ	1	7.1%
ム	1	7.1%
ェ	1	7.1%
ド	1	7.1%
ト	1	7.1%
中	1	7.1%
村	1	7.1%
Other values (3)	3	21.4%

Value	Count	Frequency (%)
.	25	44.6%
:	25	44.6%
&	3	5.4%
・	1	1.8%
'	1	1.8%
!	1	1.8%

Value	Count	Frequency (%)
8	4	44.4%
3	1	11.1%
1	1	11.1%
9	1	11.1%
7	1	11.1%
4	1	11.1%

Value	Count	Frequency (%)
	1336	100.0%

Value	Count	Frequency (%)
-	21	100.0%

Value	Count	Frequency (%)
_	18	100.0%

Value	Count	Frequency (%)
ー	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16689	92.0%
Common	1441	7.9%
Katakana	9	< 0.1%
Han	5	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
a	1667	10.0%
e	1570	9.4%
r	1273	7.6%
n	1127	6.8%
o	1060	6.4%
i	954	5.7%
t	691	4.1%
l	632	3.8%
s	620	3.7%
h	608	3.6%
Other values (62)	6487	38.9%

Value	Count	Frequency (%)
	1336	92.7%
.	25	1.7%
:	25	1.7%
-	21	1.5%
_	18	1.2%
8	4	0.3%
&	3	0.2%
3	1	0.1%
1	1	0.1%
9	1	0.1%
Other values (6)	6	0.4%

Value	Count	Frequency (%)
フ	2	22.2%
マ	1	11.1%
キ	1	11.1%
シ	1	11.1%
ム	1	11.1%
ェ	1	11.1%
ド	1	11.1%
ト	1	11.1%

Value	Count	Frequency (%)
中	1	20.0%
村	1	20.0%
均	1	20.0%
一	1	20.0%
潘	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18003	99.2%
None	125	0.7%
Katakana	11	0.1%
CJK	5	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
a	1667	9.3%
e	1570	8.7%
	1336	7.4%
r	1273	7.1%
n	1127	6.3%
o	1060	5.9%
i	954	5.3%
t	691	3.8%
l	632	3.5%
s	620	3.4%
Other values (56)	7073	39.3%

Value	Count	Frequency (%)
á	27	21.6%
é	25	20.0%
ł	19	15.2%
ó	11	8.8%
ö	8	6.4%
ð	7	5.6%
É	6	4.8%
è	6	4.8%
í	2	1.6%
ë	2	1.6%
Other values (10)	12	9.6%

Value	Count	Frequency (%)
フ	2	18.2%
マ	1	9.1%
キ	1	9.1%
シ	1	9.1%
ム	1	9.1%
・	1	9.1%
ェ	1	9.1%
ド	1	9.1%
ー	1	9.1%
ト	1	9.1%

Value	Count	Frequency (%)
中	1	20.0%
村	1	20.0%
均	1	20.0%
一	1	20.0%
潘	1	20.0%

artist2_type
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	8003
Missing (%)	84.9%
Memory size	147.4 KiB

artist	1428

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	8568
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	artist
2nd row	artist
3rd row	artist
4th row	artist
5th row	artist

Value	Count	Frequency (%)
artist	1428	15.1%
(Missing)	8003	84.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
artist	1428	100.0%

Most occurring characters

Value	Count	Frequency (%)
t	2856	33.3%
a	1428	16.7%
r	1428	16.7%
i	1428	16.7%
s	1428	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8568	100.0%

Most frequent character per category

Value	Count	Frequency (%)
t	2856	33.3%
a	1428	16.7%
r	1428	16.7%
i	1428	16.7%
s	1428	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8568	100.0%

Most frequent character per script

Value	Count	Frequency (%)
t	2856	33.3%
a	1428	16.7%
r	1428	16.7%
i	1428	16.7%
s	1428	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8568	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	2856	33.3%
a	1428	16.7%
r	1428	16.7%
i	1428	16.7%
s	1428	16.7%

duration_ms
Real number (ℝ_≥0)

Distinct	2267
Distinct (%)	24.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	263885.9661
Minimum	11066
Maximum	1480306
Zeros	0
Zeros (%)	0.0%
Memory size	147.4 KiB

Quantile statistics

Minimum	11066
5-th percentile	158960
Q1	209829
median	245120
Q3	296520
95-th percentile	432133
Maximum	1480306
Range	1469240
Interquartile range (IQR)	86691

Descriptive statistics

Standard deviation	96268.86541
Coefficient of variation (CV)	0.3648123727
Kurtosis	13.87759009
Mean	263885.9661
Median Absolute Deviation (MAD)	40309
Skewness	2.558170773
Sum	2488708546
Variance	9267694447
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
213866	48	0.5%
487186	46	0.5%
233000	43	0.5%
357419	43	0.5%
208826	41	0.4%
209829	41	0.4%
181506	38	0.4%
230869	38	0.4%
180000	38	0.4%
265746	38	0.4%
Other values (2257)	9017	95.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11066	1	< 0.1%
32974	1	< 0.1%
37666	1	< 0.1%
43613	9	0.1%
43960	1	< 0.1%

Value	Count	Frequency (%)
1480306	1	< 0.1%
1365666	1	< 0.1%
1162194	1	< 0.1%
1083026	1	< 0.1%
948640	1	< 0.1%

is_local
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	82.9 KiB

False	9431

Common Values
Chart

Value	Count	Frequency (%)
False	9431	100.0%

name
Categorical

HIGH CARDINALITY

Distinct	2318
Distinct (%)	24.6%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

Grouch	48
Tanca	46
Niðurlút	43
Exits	43
Cradles	41
Other values (2313)	9210

Length

Max length	170
Median length	13
Mean length	16.64849963
Min length	1

Characters and Unicode

Total characters	157012
Distinct characters	259
Distinct categories	15 ?
Distinct scripts	9 ?
Distinct blocks	9 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1224 ?
Unique (%)	13.0%

Sample

1st row	String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro
2nd row	String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro
3rd row	Sœur Monique: 18ème ordre, 3ème livre
4th row	Septet in E-Flat Major, Op. 20: III. Tempo di Menuetto
5th row	Piano Sonata No. 20 in G Major, Op. 49 No. 2: II. Tempo di Menuetto

Value	Count	Frequency (%)
Grouch	48	0.5%
Tanca	46	0.5%
Niðurlút	43	0.5%
Exits	43	0.5%
Cradles	41	0.4%
bâtard	41	0.4%
Drifted	38	0.4%
Comme Des Garçons (Like The Boys)	38	0.4%
Huggin & Kissin	38	0.4%
Bicep	37	0.4%
Other values (2308)	9018	95.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
	1137	3.9%
the	1070	3.7%
in	491	1.7%
feat	301	1.0%
of	292	1.0%
a	288	1.0%
i	268	0.9%
no	250	0.9%
you	247	0.9%
my	234	0.8%
Other values (3325)	24241	84.1%

Most occurring characters

Value	Count	Frequency (%)
	19388	12.3%
e	14184	9.0%
a	8879	5.7%
o	8859	5.6%
i	8475	5.4%
r	7648	4.9%
n	7593	4.8%
t	6916	4.4%
s	5796	3.7%
l	5365	3.4%
Other values (249)	63909	40.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	103572	66.0%
Uppercase Letter	25482	16.2%
Space Separator	19388	12.3%
Other Punctuation	3380	2.2%
Decimal Number	2559	1.6%
Dash Punctuation	1132	0.7%
Open Punctuation	630	0.4%
Close Punctuation	630	0.4%
Other Letter	202	0.1%
Final Punctuation	21	< 0.1%
Other values (5)	16	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	14184	13.7%
a	8879	8.6%
o	8859	8.6%
i	8475	8.2%
r	7648	7.4%
n	7593	7.3%
t	6916	6.7%
s	5796	5.6%
l	5365	5.2%
h	3508	3.4%
Other values (77)	26349	25.4%

Value	Count	Frequency (%)
の	13	6.4%
ص	11	5.4%
ا	11	5.4%
م	11	5.4%
د	11	5.4%
さ	5	2.5%
し	5	2.5%
い	5	2.5%
鼓	5	2.5%
動	5	2.5%
Other values (70)	120	59.4%

Value	Count	Frequency (%)
S	2280	8.9%
T	2083	8.2%
M	1911	7.5%
D	1540	6.0%
A	1447	5.7%
I	1427	5.6%
L	1291	5.1%
B	1211	4.8%
C	1209	4.7%
O	1155	4.5%
Other values (44)	9928	39.0%

Value	Count	Frequency (%)
.	1280	37.9%
'	570	16.9%
,	549	16.2%
:	362	10.7%
?	160	4.7%
"	154	4.6%
&	119	3.5%
/	86	2.5%
!	58	1.7%
#	29	0.9%
Other values (5)	13	0.4%

Value	Count	Frequency (%)
1	567	22.2%
2	538	21.0%
0	391	15.3%
9	181	7.1%
3	179	7.0%
4	164	6.4%
7	152	5.9%
5	145	5.7%
8	130	5.1%
6	112	4.4%

Value	Count	Frequency (%)
(	614	97.5%
[	16	2.5%

Value	Count	Frequency (%)
)	614	97.5%
]	16	2.5%

Value	Count	Frequency (%)
’	17	81.0%
”	4	19.0%

Value	Count	Frequency (%)
	19388	100.0%

Value	Count	Frequency (%)
-	1132	100.0%

Value	Count	Frequency (%)
“	4	100.0%

Value	Count	Frequency (%)
゙	1	100.0%

Value	Count	Frequency (%)
ー	5	100.0%

Value	Count	Frequency (%)
+	5	100.0%

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	127985	81.5%
Common	27755	17.7%
Cyrillic	1069	0.7%
Han	63	< 0.1%
Hiragana	57	< 0.1%
Arabic	44	< 0.1%
Katakana	30	< 0.1%
Hebrew	8	< 0.1%
Inherited	1	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	14184	11.1%
a	8879	6.9%
o	8859	6.9%
i	8475	6.6%
r	7648	6.0%
n	7593	5.9%
t	6916	5.4%
s	5796	4.5%
l	5365	4.2%
h	3508	2.7%
Other values (81)	50762	39.7%

Value	Count	Frequency (%)
а	136	12.7%
н	88	8.2%
с	82	7.7%
р	55	5.1%
и	53	5.0%
е	52	4.9%
т	49	4.6%
о	43	4.0%
л	42	3.9%
у	33	3.1%
Other values (40)	436	40.8%

Value	Count	Frequency (%)
	19388	69.9%
.	1280	4.6%
-	1132	4.1%
(	614	2.2%
)	614	2.2%
'	570	2.1%
1	567	2.0%
,	549	2.0%
2	538	1.9%
0	391	1.4%
Other values (27)	2112	7.6%

Value	Count	Frequency (%)
鼓	5	7.9%
動	5	7.9%
激	4	6.3%
胸	4	6.3%
中	4	6.3%
絡	4	6.3%
付	4	6.3%
灼	4	6.3%
熱	4	6.3%
闇	4	6.3%
Other values (18)	21	33.3%

Value	Count	Frequency (%)
ラ	3	10.0%
ワ	2	6.7%
ン	2	6.7%
ウ	2	6.7%
イ	2	6.7%
ホ	1	3.3%
サ	1	3.3%
ム	1	3.3%
ト	1	3.3%
ゥ	1	3.3%
Other values (14)	14	46.7%

Value	Count	Frequency (%)
の	13	22.8%
さ	5	8.8%
し	5	8.8%
い	5	8.8%
と	5	8.8%
こ	4	7.0%
で	4	7.0%
み	4	7.0%
た	4	7.0%
や	1	1.8%
Other values (7)	7	12.3%

Value	Count	Frequency (%)
ו	2	25.0%
ר	1	12.5%
צ	1	12.5%
ה	1	12.5%
ש	1	12.5%
ל	1	12.5%
ם	1	12.5%

Value	Count	Frequency (%)
ص	11	25.0%
ا	11	25.0%
م	11	25.0%
د	11	25.0%

Value	Count	Frequency (%)
゙	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	155004	98.7%
Cyrillic	1069	0.7%
None	700	0.4%
CJK	63	< 0.1%
Hiragana	58	< 0.1%
Arabic	44	< 0.1%
Katakana	41	< 0.1%
Punctuation	25	< 0.1%
Hebrew	8	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	19388	12.5%
e	14184	9.2%
a	8879	5.7%
o	8859	5.7%
i	8475	5.5%
r	7648	4.9%
n	7593	4.9%
t	6916	4.5%
s	5796	3.7%
l	5365	3.5%
Other values (71)	61901	39.9%

Value	Count	Frequency (%)
ð	72	10.3%
ê	70	10.0%
á	65	9.3%
é	63	9.0%
â	57	8.1%
ú	43	6.1%
ç	39	5.6%
Ä	35	5.0%
è	30	4.3%
Þ	28	4.0%
Other values (32)	198	28.3%

Value	Count	Frequency (%)
а	136	12.7%
н	88	8.2%
с	82	7.7%
р	55	5.1%
и	53	5.0%
е	52	4.9%
т	49	4.6%
о	43	4.0%
л	42	3.9%
у	33	3.1%
Other values (40)	436	40.8%

Value	Count	Frequency (%)
の	13	22.4%
さ	5	8.6%
し	5	8.6%
い	5	8.6%
と	5	8.6%
こ	4	6.9%
で	4	6.9%
み	4	6.9%
た	4	6.9%
゙	1	1.7%
Other values (8)	8	13.8%

Value	Count	Frequency (%)
鼓	5	7.9%
動	5	7.9%
激	4	6.3%
胸	4	6.3%
中	4	6.3%
絡	4	6.3%
付	4	6.3%
灼	4	6.3%
熱	4	6.3%
闇	4	6.3%
Other values (18)	21	33.3%

Value	Count	Frequency (%)
・	6	14.6%
ー	5	12.2%
ラ	3	7.3%
ワ	2	4.9%
ン	2	4.9%
ウ	2	4.9%
イ	2	4.9%
ホ	1	2.4%
サ	1	2.4%
ム	1	2.4%
Other values (16)	16	39.0%

Value	Count	Frequency (%)
’	17	68.0%
“	4	16.0%
”	4	16.0%

Value	Count	Frequency (%)
ص	11	25.0%
ا	11	25.0%
م	11	25.0%
د	11	25.0%

Value	Count	Frequency (%)
ו	2	25.0%
ר	1	12.5%
צ	1	12.5%
ה	1	12.5%
ש	1	12.5%
ל	1	12.5%
ם	1	12.5%

popularity
Real number (ℝ_≥0)

Distinct	92
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	45.47216626
Minimum	0
Maximum	96
Zeros	47
Zeros (%)	0.5%
Memory size	147.4 KiB

Quantile statistics

Minimum	0
5-th percentile	15
Q1	34
median	45
Q3	57
95-th percentile	72
Maximum	96
Range	96
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	16.69922447
Coefficient of variation (CV)	0.3672405747
Kurtosis	-0.09580275519
Mean	45.47216626
Median Absolute Deviation (MAD)	11
Skewness	-0.1944020984
Sum	428848
Variance	278.8640979
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	376	4.0%
34	324	3.4%
58	263	2.8%
57	254	2.7%
49	252	2.7%
37	237	2.5%
38	236	2.5%
44	235	2.5%
51	229	2.4%
52	218	2.3%
Other values (82)	6807	72.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	47	0.5%
1	12	0.1%
2	36	0.4%
3	36	0.4%
4	3	< 0.1%

Value	Count	Frequency (%)
96	4	< 0.1%
95	1	< 0.1%
92	1	< 0.1%
91	3	< 0.1%
89	1	< 0.1%

type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

track	9431

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	47155
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	track
2nd row	track
3rd row	track
4th row	track
5th row	track

Value	Count	Frequency (%)
track	9431	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
track	9431	100.0%

Most occurring characters

Value	Count	Frequency (%)
t	9431	20.0%
r	9431	20.0%
a	9431	20.0%
c	9431	20.0%
k	9431	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	47155	100.0%

Most frequent character per category

Value	Count	Frequency (%)
t	9431	20.0%
r	9431	20.0%
a	9431	20.0%
c	9431	20.0%
k	9431	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47155	100.0%

Most frequent character per script

Value	Count	Frequency (%)
t	9431	20.0%
r	9431	20.0%
a	9431	20.0%
c	9431	20.0%
k	9431	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47155	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	9431	20.0%
r	9431	20.0%
a	9431	20.0%
c	9431	20.0%
k	9431	20.0%

danceability
Real number (ℝ_≥0)

Distinct	709
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5618687202
Minimum	0
Maximum	0.957
Zeros	1
Zeros (%)	< 0.1%
Memory size	147.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.255
Q1	0.476
median	0.586
Q3	0.67
95-th percentile	0.798
Maximum	0.957
Range	0.957
Interquartile range (IQR)	0.194

Descriptive statistics

Standard deviation	0.1595507275
Coefficient of variation (CV)	0.2839644241
Kurtosis	0.1197417107
Mean	0.5618687202
Median Absolute Deviation (MAD)	0.098
Skewness	-0.5526675629
Sum	5298.9839
Variance	0.02545643465
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.629	100	1.1%
0.646	85	0.9%
0.581	84	0.9%
0.587	79	0.8%
0.54	76	0.8%
0.483	68	0.7%
0.634	68	0.7%
0.705	66	0.7%
0.586	65	0.7%
0.63	62	0.7%
Other values (699)	8678	92.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
0.0581	2	< 0.1%
0.0627	1	< 0.1%
0.0636	1	< 0.1%
0.0646	1	< 0.1%

Value	Count	Frequency (%)
0.957	2	< 0.1%
0.956	11	0.1%
0.942	1	< 0.1%
0.94	4	< 0.1%
0.937	2	< 0.1%

energy
Real number (ℝ_≥0)

Distinct	893
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.6684093156
Minimum	0.000985
Maximum	0.998
Zeros	0
Zeros (%)	0.0%
Memory size	147.4 KiB

Quantile statistics

Minimum	0.000985
5-th percentile	0.229
Q1	0.5445
median	0.707
Q3	0.842
95-th percentile	0.943
Maximum	0.998
Range	0.997015
Interquartile range (IQR)	0.2975

Descriptive statistics

Standard deviation	0.2175198109
Coefficient of variation (CV)	0.3254290534
Kurtosis	0.3094997029
Mean	0.6684093156
Median Absolute Deviation (MAD)	0.145
Skewness	-0.859534261
Sum	6303.768255
Variance	0.04731486812
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.597	84	0.9%
0.72	81	0.9%
0.869	77	0.8%
0.912	72	0.8%
0.589	69	0.7%
0.67	64	0.7%
0.835	64	0.7%
0.825	62	0.7%
0.759	62	0.7%
0.842	61	0.6%
Other values (883)	8735	92.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.000985	1	< 0.1%
0.00106	1	< 0.1%
0.00228	2	< 0.1%
0.00258	1	< 0.1%
0.00283	1	< 0.1%

Value	Count	Frequency (%)
0.998	4	< 0.1%
0.995	6	0.1%
0.991	1	< 0.1%
0.99	18	0.2%
0.988	4	< 0.1%

key
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.38267416
Minimum	0
Maximum	11
Zeros	1243
Zeros (%)	13.2%
Memory size	147.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	6
Q3	9
95-th percentile	11
Maximum	11
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.701106552
Coefficient of variation (CV)	0.6875962472
Kurtosis	-1.36861152
Mean	5.38267416
Median Absolute Deviation (MAD)	3
Skewness	-0.05287628203
Sum	50764
Variance	13.69818971
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	1243	13.2%
9	1079	11.4%
7	990	10.5%
1	907	9.6%
2	892	9.5%
11	858	9.1%
10	670	7.1%
5	660	7.0%
8	639	6.8%
4	621	6.6%
Other values (2)	872	9.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1243	13.2%
1	907	9.6%
2	892	9.5%
3	278	2.9%
4	621	6.6%

Value	Count	Frequency (%)
11	858	9.1%
10	670	7.1%
9	1079	11.4%
8	639	6.8%
7	990	10.5%

loudness
Real number (ℝ)

Distinct	2157
Distinct (%)	22.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-8.30066239
Minimum	-40.385
Maximum	-1.502
Zeros	0
Zeros (%)	0.0%
Memory size	147.4 KiB

Quantile statistics

Minimum	-40.385
5-th percentile	-15.709
Q1	-9.838
median	-7.51
Q3	-5.597
95-th percentile	-3.502
Maximum	-1.502
Range	38.883
Interquartile range (IQR)	4.241

Descriptive statistics

Standard deviation	4.336175192
Coefficient of variation (CV)	-0.5223890562
Kurtosis	8.074792922
Mean	-8.30066239
Median Absolute Deviation (MAD)	2.127
Skewness	-2.214979456
Sum	-78283.547
Variance	18.8024153
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-5.101	50	0.5%
-8.251	48	0.5%
-10.009	46	0.5%
-6.931	43	0.5%
-2.94	43	0.5%
-1.87	41	0.4%
-9.652	41	0.4%
-3.776	38	0.4%
-8.171	38	0.4%
-3.747	38	0.4%
Other values (2147)	9005	95.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-40.385	1	< 0.1%
-38.863	2	< 0.1%
-37.727	1	< 0.1%
-37.422	2	< 0.1%
-37.26	1	< 0.1%

Value	Count	Frequency (%)
-1.502	2	< 0.1%
-1.589	1	< 0.1%
-1.673	1	< 0.1%
-1.739	1	< 0.1%
-1.742	17	0.2%

mode
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

1	4898
0	4533

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9431
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	4898	51.9%
0	4533	48.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	4898	51.9%
0	4533	48.1%

Most occurring characters

Value	Count	Frequency (%)
1	4898	51.9%
0	4533	48.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9431	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	4898	51.9%
0	4533	48.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	9431	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	4898	51.9%
0	4533	48.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9431	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	4898	51.9%
0	4533	48.1%

speechiness
Real number (ℝ_≥0)

Distinct	717
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.06396315343
Minimum	0
Maximum	0.95
Zeros	1
Zeros (%)	< 0.1%
Memory size	147.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.0282
Q1	0.0345
median	0.0429
Q3	0.0621
95-th percentile	0.19
Maximum	0.95
Range	0.95
Interquartile range (IQR)	0.0276

Descriptive statistics

Standard deviation	0.06268440319
Coefficient of variation (CV)	0.9800080176
Kurtosis	25.95308038
Mean	0.06396315343
Median Absolute Deviation (MAD)	0.0108
Skewness	4.18014268
Sum	603.2365
Variance	0.003929334404
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0376	109	1.2%
0.034	92	1.0%
0.0323	86	0.9%
0.0282	81	0.9%
0.0441	71	0.8%
0.0346	69	0.7%
0.0417	69	0.7%
0.035	66	0.7%
0.0321	64	0.7%
0.0366	62	0.7%
Other values (707)	8662	91.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
0.0242	1	< 0.1%
0.0244	1	< 0.1%
0.0247	1	< 0.1%
0.0248	1	< 0.1%

Value	Count	Frequency (%)
0.95	1	< 0.1%
0.907	1	< 0.1%
0.88	1	< 0.1%
0.804	1	< 0.1%
0.636	1	< 0.1%

acousticness
Real number (ℝ_≥0)

Distinct	1544
Distinct (%)	16.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1886488729
Minimum	2.38 × 10⁶
Maximum	0.996
Zeros	0
Zeros (%)	0.0%
Memory size	147.4 KiB

Quantile statistics

Minimum	2.38 × 10⁶
5-th percentile	0.000144
Q1	0.00463
median	0.0458
Q3	0.245
95-th percentile	0.8985
Maximum	0.996
Range	0.99599762
Interquartile range (IQR)	0.24037

Descriptive statistics

Standard deviation	0.2799912069
Coefficient of variation (CV)	1.484192312
Kurtosis	1.439955355
Mean	0.1886488729
Median Absolute Deviation (MAD)	0.045217
Skewness	1.632571472
Sum	1779.147521
Variance	0.07839507592
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0246	58	0.6%
0.00132	50	0.5%
0.0915	48	0.5%
0.286	45	0.5%
0.0559	44	0.5%
0.119	44	0.5%
0.129	43	0.5%
0.00015	43	0.5%
0.27	42	0.4%
0.117	42	0.4%
Other values (1534)	8972	95.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.38 × 10⁶	1	< 0.1%
2.93 × 10⁶	3	< 0.1%
2.96 × 10⁶	4	< 0.1%
3.21 × 10⁶	4	< 0.1%
3.3 × 10⁶	6	0.1%

Value	Count	Frequency (%)
0.996	3	< 0.1%
0.995	14	0.1%
0.994	11	0.1%
0.993	5	0.1%
0.992	5	0.1%

instrumentalness
Real number (ℝ_≥0)

ZEROS

Distinct	1455
Distinct (%)	15.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2648508546
Minimum	0
Maximum	0.988
Zeros	617
Zeros (%)	6.5%
Memory size	147.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.0005275
median	0.0352
Q3	0.583
95-th percentile	0.901
Maximum	0.988
Range	0.988
Interquartile range (IQR)	0.5824725

Descriptive statistics

Standard deviation	0.3445858208
Coefficient of variation (CV)	1.301056103
Kurtosis	-0.9019074121
Mean	0.2648508546
Median Absolute Deviation (MAD)	0.0352
Skewness	0.8941568942
Sum	2497.80841
Variance	0.1187393879
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	617	6.5%
0.00308	49	0.5%
4.94 × 10⁵	48	0.5%
0.806	47	0.5%
0.000296	46	0.5%
0.0296	44	0.5%
0.00107	43	0.5%
0.54	43	0.5%
0.692	43	0.5%
6.48 × 10⁵	41	0.4%
Other values (1445)	8410	89.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	617	6.5%
1 × 10⁶	18	0.2%
1.03 × 10⁶	6	0.1%
1.1 × 10⁶	5	0.1%
1.15 × 10⁶	20	0.2%

Value	Count	Frequency (%)
0.988	1	< 0.1%
0.987	1	< 0.1%
0.979	3	< 0.1%
0.977	1	< 0.1%
0.976	2	< 0.1%

liveness
Real number (ℝ_≥0)

Distinct	788
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1901532393
Minimum	0.023
Maximum	0.982
Zeros	0
Zeros (%)	0.0%
Memory size	147.4 KiB

Quantile statistics

Minimum	0.023
5-th percentile	0.0635
Q1	0.09545
median	0.127
Q3	0.245
95-th percentile	0.514
Maximum	0.982
Range	0.959
Interquartile range (IQR)	0.14955

Descriptive statistics

Standard deviation	0.1515360681
Coefficient of variation (CV)	0.7969155229
Kurtosis	5.120280073
Mean	0.1901532393
Median Absolute Deviation (MAD)	0.0453
Skewness	2.120677612
Sum	1793.3352
Variance	0.02296317995
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.112	153	1.6%
0.111	124	1.3%
0.11	119	1.3%
0.105	115	1.2%
0.106	112	1.2%
0.103	103	1.1%
0.142	89	0.9%
0.123	83	0.9%
0.135	82	0.9%
0.205	81	0.9%
Other values (778)	8370	88.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.023	1	< 0.1%
0.0251	1	< 0.1%
0.0298	10	0.1%
0.032	1	< 0.1%
0.0322	18	0.2%

Value	Count	Frequency (%)
0.982	1	< 0.1%
0.98	1	< 0.1%
0.947	1	< 0.1%
0.934	14	0.1%
0.929	2	< 0.1%

valence
Real number (ℝ_≥0)

Distinct	986
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.4140715619
Minimum	0
Maximum	0.976
Zeros	1
Zeros (%)	< 0.1%
Memory size	147.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.05275
Q1	0.198
median	0.394
Q3	0.594
95-th percentile	0.851
Maximum	0.976
Range	0.976
Interquartile range (IQR)	0.396

Descriptive statistics

Standard deviation	0.2481769174
Coefficient of variation (CV)	0.5993575514
Kurtosis	-0.9020447413
Mean	0.4140715619
Median Absolute Deviation (MAD)	0.199
Skewness	0.2965320497
Sum	3905.1089
Variance	0.06159178235
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.443	65	0.7%
0.486	62	0.7%
0.777	58	0.6%
0.276	58	0.6%
0.65	57	0.6%
0.0592	57	0.6%
0.302	53	0.6%
0.175	51	0.5%
0.785	51	0.5%
0.392	50	0.5%
Other values (976)	8869	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
0.0225	1	< 0.1%
0.0252	1	< 0.1%
0.0298	1	< 0.1%
0.0305	1	< 0.1%

Value	Count	Frequency (%)
0.976	8	0.1%
0.972	2	< 0.1%
0.97	3	< 0.1%
0.969	1	< 0.1%
0.968	8	0.1%

tempo
Real number (ℝ_≥0)

Distinct	2215
Distinct (%)	23.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	119.2954269
Minimum	0
Maximum	219.905
Zeros	1
Zeros (%)	< 0.1%
Memory size	147.4 KiB

Quantile statistics

Minimum	0
5-th percentile	79.999
Q1	102.001
median	119.973
Q3	130.331
95-th percentile	168.063
Maximum	219.905
Range	219.905
Interquartile range (IQR)	28.33

Descriptive statistics

Standard deviation	24.72991837
Coefficient of variation (CV)	0.207299802
Kurtosis	0.5332078113
Mean	119.2954269
Median Absolute Deviation (MAD)	15.007
Skewness	0.4530466989
Sum	1125075.171
Variance	611.5688627
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
124.013	49	0.5%
95.07	46	0.5%
119.976	44	0.5%
188.055	43	0.5%
126.012	41	0.4%
67.443	41	0.4%
120.012	40	0.4%
119.162	38	0.4%
108.002	38	0.4%
136.44	38	0.4%
Other values (2205)	9013	95.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
52.39	1	< 0.1%
55.803	13	0.1%
58.144	2	< 0.1%
59.985	4	< 0.1%

Value	Count	Frequency (%)
219.905	1	< 0.1%
218.231	1	< 0.1%
214.67	7	0.1%
209.91	1	< 0.1%
203.357	1	< 0.1%

time_signature
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	147.4 KiB

4	8840
3	422
5	114
1	54
0	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9431
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	3

Value	Count	Frequency (%)
4	8840	93.7%
3	422	4.5%
5	114	1.2%
1	54	0.6%
0	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
4	8840	93.7%
3	422	4.5%
5	114	1.2%
1	54	0.6%
0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
4	8840	93.7%
3	422	4.5%
5	114	1.2%
1	54	0.6%
0	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9431	100.0%

Most frequent character per category

Value	Count	Frequency (%)
4	8840	93.7%
3	422	4.5%
5	114	1.2%
1	54	0.6%
0	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	9431	100.0%

Most frequent character per script

Value	Count	Frequency (%)
4	8840	93.7%
3	422	4.5%
5	114	1.2%
1	54	0.6%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9431	100.0%

Most frequent character per block

Value	Count	Frequency (%)
4	8840	93.7%
3	422	4.5%
5	114	1.2%
1	54	0.6%
0	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	endTime	artistName	trackName	msPlayed	artist+track	id_	album_type	album_id	album_name	album_release_date	artist1_id	artist1_name	artist1_type	artist2_id	artist2_name	artist2_type	duration_ms	is_local	name	popularity	type	danceability	energy	key	loudness	mode	speechiness	acousticness	instrumentalness	liveness	valence	tempo	time_signature
0	2020-01-22 11:54:00	Ludwig van Beethoven	String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro	244042	Ludwig van Beethoven String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro	7vR6QjmkczDUUTQwhpeUdM	album	6ClMVcmFacF795m4jJZRpx	Beethoven for Brainpower	2021-01-19	2wOqMjp9TyABvtHdOSOTUS	Ludwig van Beethoven	artist	1mIuhlEoWepcSBZp60nd57	LaSalle Quartet	artist	399160	False	String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro	1	track	0.418	0.1570	6	-16.158	0	0.0472	0.960	0.5850	0.0869	0.2930	129.644	4
1	2020-01-22 12:00:00	Ludwig van Beethoven	String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro	155099	Ludwig van Beethoven String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro	7vR6QjmkczDUUTQwhpeUdM	album	6ClMVcmFacF795m4jJZRpx	Beethoven for Brainpower	2021-01-19	2wOqMjp9TyABvtHdOSOTUS	Ludwig van Beethoven	artist	1mIuhlEoWepcSBZp60nd57	LaSalle Quartet	artist	399160	False	String Quartet No. 14 in C-Sharp Minor, Op. 131: 7. Allegro	1	track	0.418	0.1570	6	-16.158	0	0.0472	0.960	0.5850	0.0869	0.2930	129.644	4
2	2020-01-22 12:03:00	François Couperin	Sœur Monique: 18ème ordre, 3ème livre	188100	François Couperin Sœur Monique: 18ème ordre, 3ème livre	5CBXjtjqToJ3sw0nCPdVDU	album	3qsB60Pmng0d7kg1hZHIzB	Couperin: Les Ombres Errantes	2013-02-25	4kVLtXuKJTE7SgYd2sQtaL	François Couperin	artist	6ACU5c6yaqQdW5u8bRNCvW	Iddo Bar-Shaï	artist	188229	False	Sœur Monique: 18ème ordre, 3ème livre	44	track	0.354	0.0669	5	-26.154	1	0.0395	0.989	0.9360	0.0827	0.3160	70.603	4
3	2020-01-22 12:06:00	Ludwig van Beethoven	Septet in E-Flat Major, Op. 20: III. Tempo di menuetto	189863	Ludwig van Beethoven Septet in E-Flat Major, Op. 20: III. Tempo di menuetto	2GitKhuY13f5ZLfIXVJcNU	album	6ClMVcmFacF795m4jJZRpx	Beethoven for Brainpower	2021-01-19	2wOqMjp9TyABvtHdOSOTUS	Ludwig van Beethoven	artist	3ldMTcot7OqW9irqQMP0wu	Wiener Philharmonisches Kammerensemble	artist	212000	False	Septet in E-Flat Major, Op. 20: III. Tempo di Menuetto	1	track	0.409	0.0371	10	-22.059	1	0.0351	0.981	0.0419	0.1310	0.2990	110.273	4
4	2020-01-22 12:09:00	Ludwig van Beethoven	Piano Sonata No.20 in G Major, Op. 49 No.2: II. Tempo di Menuetto	180111	Ludwig van Beethoven Piano Sonata No.20 in G Major, Op. 49 No.2: II. Tempo di Menuetto	3nnf7oDfeQ2zsnGFA3AhOP	album	16QCBn9N48I2Dv8K31K5RL	A Day with Beethoven	2021-01-15	2wOqMjp9TyABvtHdOSOTUS	Ludwig van Beethoven	artist	5w8T4OOA2gPqsga2b69563	Yves Nat	artist	160360	False	Piano Sonata No. 20 in G Major, Op. 49 No. 2: II. Tempo di Menuetto	2	track	0.373	0.1150	7	-18.242	1	0.0386	0.991	0.8560	0.1520	0.4370	143.504	3
5	2020-01-22 12:14:00	Johann Sebastian Bach	Bach, JS / Orch. Marriner: Was mir behagt, ist nur die muntre Jagd, BWV 208: IX. Schafe können sicher weiden	279353	Johann Sebastian Bach Bach, JS / Orch. Marriner: Was mir behagt, ist nur die muntre Jagd, BWV 208: IX. Schafe können sicher weiden	2JOXTg7PdMetphuHjckQHI	album	36WjHyPNQ0Itp7qlZ9KWkR	The Best of the Academy	1995-01-01	5aIqB5nVVvmFsvSdExz408	Johann Sebastian Bach	artist	6NUhQz7eAEsZvjEHTKHux9	Sir Neville Marriner	artist	277440	False	Bach, JS / Orch. Marriner: Was mir behagt, ist nur die muntre Jagd, BWV 208: IX. Schafe können sicher weiden	50	track	0.226	0.0652	10	-24.430	1	0.0446	0.956	0.9260	0.1110	0.1840	76.354	4
6	2020-01-22 12:17:00	Francesco Geminiani	Concerto grosso, Op. 2, No. 2 in C Minor: IV. Allegro	204113	Francesco Geminiani Concerto grosso, Op. 2, No. 2 in C Minor: IV. Allegro	2MqjdlvIAV35A8yx8frEdV	album	6upCeDdeXiRHyXfWXLbNrU	Geminiani: Quinta Essentia	2019-09-20	4Vn6axeFKEaPRH1sI7JVKj	Francesco Geminiani	artist	6dxdut9Mhu7r7SM9HZB5Ob	Concerto Köln	artist	204187	False	Concerto grosso, Op. 2, No. 2 in C Minor: IV. Allegro	38	track	0.519	0.1150	11	-21.164	0	0.0384	0.884	0.0420	0.1100	0.6410	124.737	4
7	2020-01-22 12:22:00	Victor Massé	Les noces de Jeanette - opéra-comique : Air du rossignol	267599	Victor Massé Les noces de Jeanette - opéra-comique : Air du rossignol	2mrejQjtvJVGzAQiS1PacU	album	1J4hDdBCCKW7vmB0M22JO3	The Flight of the Bumblebee - Spring Music	2000-01-01	1uJnvXZTIXWPODbfCuZNzA	Victor Massé	artist	13nrWU0iAugxOj586gGfaw	Patrick Gallois	artist	268173	False	Les noces de Jeanette - opéra-comique: Air du rossignol	19	track	0.341	0.0585	8	-25.803	1	0.0517	0.972	0.9070	0.1040	0.0759	124.459	4
8	2020-01-22 12:25:00	Carl Philipp Emanuel Bach	Keyboard Concerto in G Major, Wq. 44: II. Andantino	198357	Carl Philipp Emanuel Bach Keyboard Concerto in G Major, Wq. 44: II. Andantino	7xI0wxBQhYMSWDhkuvbRgM	album	4PWG4HAlwOceVdbjiX3r08	C.P.E. Bach: Keyboard Concertos, Wq. 26, 44 & 20	2016-01-01	3meioy7GWDwpwmjv2LPyAb	Carl Philipp Emanuel Bach	artist	2m1oXzullfjrEtsT2z8Wia	Michael Rische	artist	198333	False	Keyboard Concerto in G Major, Wq. 44: II. Andantino	40	track	0.384	0.0274	4	-26.640	0	0.0339	0.975	0.6230	0.2300	0.1960	86.948	4
9	2020-01-22 12:27:00	Emmanuel Pahud	Molino: Duo No. 3, Op. 16: I. Andantino	97837	Emmanuel Pahud Molino: Duo No. 3, Op. 16: I. Andantino	15ZcZqeTTpIy7RDs8P8DuH	album	6a5OK0q8lpZW1hQgJn9fCm	Around The World	2013-10-07	6duaKoFWgzQNgHlfmn3dHq	Emmanuel Pahud	artist	4Uz03jdkyGrQHyHepr1Kqk	Christian Rivet	artist	98320	False	Molino: Duo No. 3, Op. 16: I. Andantino	42	track	0.238	0.0414	7	-25.180	1	0.0452	0.983	0.7420	0.0989	0.3250	167.186	4

Last rows

	endTime	artistName	trackName	msPlayed	artist+track	id_	album_type	album_id	album_name	album_release_date	artist1_id	artist1_name	artist1_type	artist2_id	artist2_name	artist2_type	duration_ms	is_local	name	popularity	type	danceability	energy	key	loudness	mode	speechiness	acousticness	instrumentalness	liveness	valence	tempo	time_signature
9421	2021-01-19 14:52:00	Sigur Rós	Brennisteinn	3091	Sigur Rós Brennisteinn	6xuaTUusUQ3q35YKhmpw7X	album	1rRNqn4MTZfh393GzGvBtY	Kveikur	2013-06-07	6UUrUCIZtQeOf8tC0WuzRy	Sigur Rós	artist	NaN	NaN	NaN	464666	False	Brennisteinn	40	track	0.361	0.824	0	-6.037	0	0.0631	0.000591	0.048600	0.1060	0.0985	120.666	4
9422	2021-01-20 10:52:00	Sigur Rós	Brennisteinn	464494	Sigur Rós Brennisteinn	6xuaTUusUQ3q35YKhmpw7X	album	1rRNqn4MTZfh393GzGvBtY	Kveikur	2013-06-07	6UUrUCIZtQeOf8tC0WuzRy	Sigur Rós	artist	NaN	NaN	NaN	464666	False	Brennisteinn	40	track	0.361	0.824	0	-6.037	0	0.0631	0.000591	0.048600	0.1060	0.0985	120.666	4
9423	2021-01-19 14:29:00	Sigur Rós	Hoppípolla	269889	Sigur Rós Hoppípolla	6eTGxxQxiTFE6LfZHC33Wm	album	3sE83l3A58DipFp3EzNLiE	Takk...	2005-08-22	6UUrUCIZtQeOf8tC0WuzRy	Sigur Rós	artist	NaN	NaN	NaN	270013	False	Hoppípolla	57	track	0.312	0.543	11	-9.875	1	0.0308	0.035600	0.225000	0.1280	0.1780	140.109	4
9424	2021-01-19 15:16:00	ППК	Воскрешение (Robot's Outro)	354	ППК Воскрешение (Robot's Outro)	6KewhLhocky21TwVIb8oxL	album	1nmhnokgCVl70c7e2KX8TE	Русский транс: Формирование	2018-06-11	6kGGvTWOWaF26tZF5hy19z	PPK	artist	NaN	NaN	NaN	101586	False	Воскрешение (Robot's Outro)	24	track	0.546	0.438	2	-11.733	0	0.0514	0.993000	0.962000	0.1150	0.8000	138.558	4
9425	2021-01-19 15:22:00	Garbage	Stupid Girl - 2015 - Remaster	181	Garbage Stupid Girl - 2015 - Remaster	6ErqY5wBBbZKjY9FheYwcI	album	6J6VzS5nLEzIdAynrYzqfk	Garbage (20th Anniversary Edition)	1995-08-15	6S0GHTqz5sxK5f9HtLXn9q	Garbage	artist	NaN	NaN	NaN	257756	False	Stupid Girl - 2015 - Remaster	47	track	0.632	0.760	1	-4.798	0	0.0342	0.002450	0.000466	0.0494	0.6710	119.950	4
9426	2021-01-19 15:23:00	Franz Ferdinand	Stand On the Horizon	1609	Franz Ferdinand Stand On the Horizon	7mexukWpLrCVwAztkM8kQl	album	5W7631WJASasWPAFFzDpzi	Right Thoughts, Right Words, Right Action (Deluxe Edition)	2013-08-26	0XNa1vTidXlvJ2gHSsRi4A	Franz Ferdinand	artist	NaN	NaN	NaN	263120	False	Stand On the Horizon	43	track	0.660	0.827	4	-4.015	0	0.0441	0.099600	0.000000	0.1150	0.5760	123.364	4
9427	2021-01-19 15:36:00	Gorillaz	Orchestral Intro (feat. Sinfonia ViVA)	69338	Gorillaz Orchestral Intro (feat. Sinfonia ViVA)	3s2f6XU5sJ6aqEe7GgDBta	album	2dIGnmEIy1WZIcZCFSj6i8	Plastic Beach	2010-03-03	3AA28KZvwAUcZuOKwyblJQ	Gorillaz	artist	4Vt6rW97rpUAJmi3MZT5la	Sinfonia ViVa	artist	69386	False	Orchestral Intro (feat. Sinfonia ViVA)	50	track	0.107	0.376	4	-12.342	1	0.0397	0.982000	0.905000	0.3470	0.0334	161.420	3
9428	2021-01-19 15:39:00	Gorillaz	Welcome to the World of the Plastic Beach (feat. Snoop Dogg and Hypnotic Brass Ensemble)	215333	Gorillaz Welcome to the World of the Plastic Beach (feat. Snoop Dogg and Hypnotic Brass Ensemble)	46WOptLnXUtH3LOyYvmMO1	album	2dIGnmEIy1WZIcZCFSj6i8	Plastic Beach	2010-03-03	3AA28KZvwAUcZuOKwyblJQ	Gorillaz	artist	4wvPcMJk7L9Rbw9Qh4kBeH	Hypnotic Brass Ensemble	artist	215506	False	Welcome to the World of the Plastic Beach (feat. Snoop Dogg and Hypnotic Brass Ensemble)	53	track	0.645	0.777	2	-7.235	1	0.0418	0.006530	0.003900	0.1190	0.3310	88.455	4
9429	2021-01-19 15:43:00	Gorillaz	White Flag (feat. Bashy, Kano and the National Orchestra for Arabic Music)	223349	Gorillaz White Flag (feat. Bashy, Kano and the National Orchestra for Arabic Music)	3famfyGuWw5QFcVO5Xk1uW	album	2dIGnmEIy1WZIcZCFSj6i8	Plastic Beach	2010-03-03	3AA28KZvwAUcZuOKwyblJQ	Gorillaz	artist	2pkcEiIg9zyj8C7Zq5TumZ	Bashy	artist	223466	False	White Flag (feat. Bashy, Kano and the National Orchestra for Arabic Music)	52	track	0.730	0.639	0	-6.987	1	0.1420	0.072500	0.000795	0.1740	0.5630	102.333	4
9430	2021-01-20 00:08:00	Sigur Rós	Svefn-g-englar	29884	Sigur Rós Svefn-g-englar	07eGxuz8bL6QMsRqEe1Adu	album	1DMMv1Kmoli3Y9fVEZDUVC	Ágætis byrjun	1999-06-12	6UUrUCIZtQeOf8tC0WuzRy	Sigur Rós	artist	NaN	NaN	NaN	606850	False	Svefn-g-englar	57	track	0.200	0.466	9	-12.298	1	0.0486	0.557000	0.702000	0.1080	0.0572	136.913	5

Overview

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